Find Your Dream Architect Job in India

About Position:

We are Looking for Architect having good experience in implementing and Architect of Appian as part of a service-oriented architecture for managing dynamic business process. Must be proficient with the complete Appian implementation cycle, including business process modeling, tool installation, development, testing, and deployment

• Role: Appian Lead Architect
• Location: All Persistent Locations
• Experience: 8+ years
• Job Type: Full Time Employment

What You'll Do:

• Implementing end to end process automation using cutting edge technologies
• Leading different parts of solution delivery along with client and Persistent technology teams
• Strong understanding of business and user needs
• Ability to support initial Appian setup (Cloud and On-Premises)
• Ability to understand Appian architecture, engines and servers
• Ability to set up SSO using SAML
• Ability to set up Appian with client VPN
• Ability to work with third-party integration services (REST/SOAP)
• Coordinating with application support teams during the solution development, deployment, and support
• Test quality, troubleshoots and supports an entire solution, across all components
• Ability to work independently as well as in a highly collaborative, team-based environment
• Ability to contribute within the Persistent delivery unit as a technology enabler and mentor

Expertise You'll Bring:

• At least 5 years experience in implementing BPM solutions using Appian 19.x or higher
• Exp in implementing IT solutions using BPM or integration technologies
• Good understanding of database concepts & strong working knowledge on any one of the major databases
• Previous consulting or client service delivery experience
• Experience with software architecture and SOA services implementation • Possess the certifications: Appian Designer.
• Proven work experience in Appian 18+ Versions.
• Knowledge of Cucumber, Java, and SQL
• Experience in Views, stored procedures in DB, HTML in Appian
• Experience in agile/scrum development

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent -

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Who we are

House of Misha is a multidisciplinary team of designers and architects dedicated to the highest levels of detail and creative expression.

Role Description

This is a full-time on-site role as an Architect at House of Misha in Pune. The Architect will be responsible for architectural design, software designing and project management on a day-to-day basis.

Qualifications

• Architecture and Architectural Design skills
• 2D Designing on Software like Autocad
• 3D Designing on Software like Sketchup and Revit
• Rendering Software like Lumion, Indesign
• Editing software like Photoshop
• Excellent communication and collaboration abilities
• Bachelor's or Master's degree in Architecture or related field

What You Will Offer

• A demonstrated alignment with House of Misha's mission, vision and core values based on Integrity and Honesty
• A desire for personal and organizational growth
• A driver of positive impact and organizational change
• A passionate and collaborative attitude

What We Offer

• Diverse multi-generational workforce
• Competitive and equitable compensation
• Comprehensive benefits packages
• Maternity leave
• Leadership and mentorship programs
• Career growth and advancement opportunities
• Hybrid work environment and seasonal office hours

How to apply

Kindly share your portfolio and resume with

About Infinit-O: As a top Business Process Optimization solutions provider we partner with the world's fastest-growing companies in Financial Services, Healthcare, and Technology, offering data-driven solutions and providing strategic advantage.

Our company has specialized in business process optimization for 18 years now, with a world-class Net Promoter Score of 71, delivering powerful technology and high-performance teams within our highly engaged and agile culture.

What role do we need?

We are seeking an experienced Data Architect to lead the design and development of enterprise data solutions that enable data-driven decision-making and digital transformation. This role requires a strategic thinker with strong client-facing capabilities who can understand business objectives, translate them into scalable data architectures, and guide the development of modern data platforms. As a key member of our data and analytics team, you will be responsible for defining data architecture frameworks, designing data models, and ensuring that data platforms are aligned with organizational needs and industry best practices. The ideal candidate is adept at navigating complex data environments, collaborating with cross-functional teams, and driving consensus among stakeholders to deliver high-quality, future-ready data solutions.

Specific Duties and Responsibilities:

Key Responsibilities:

Work with clients to understand the business requirements, design and deliver the data lake, data warehouse.

Work with clients to define data governance and compliance strategy.

Point of escalation for data performance challenges.

Own the end-to-end architecture & best practices, ensuring seamless execution.

Engage with client stakeholders to provide technical insights and solution recommendations.

Ensure data security best practices are followed throughout the lifecycle.

Support production deployments, troubleshooting, and optimization efforts.

Qualifications:

13+ years in Data Architecture & Engineering.

Expertise in Data Modeling, managing and governance of data, developing compliance strategies for data

Demonstrate experience in managing Data Lake, experience in setting up data lakes will be an advantage.

Demonstrate experience in setting up a data warehouse and optimizing it.

Demonstrate experience in setting up, optimizing, and maintaining multiple types of databases(SQL, NoSQL, vector database, graph)

Demonstrate experience in managing compliance (HIPAA, GDPR, CCPA) and how to structure data processing securely.

Strong stakeholder management skills - ability to work with US-based teams remotely

About Infinit-O: As a top Business Process Optimization solutions provider we partner with the world's fastest-growing companies in Financial Services, Healthcare, and Technology, offering data-driven solutions and providing strategic advantage.

Our company has specialized in business process optimization for 18 years now, with a world-class Net Promoter Score of 71, delivering powerful technology and high-performance teams within our highly engaged and agile culture.

What role do we need?

We are seeking an experienced Data Architect to lead the design and development of enterprise data solutions that enable data-driven decision-making and digital transformation. This role requires a strategic thinker with strong client-facing capabilities who can understand business objectives, translate them into scalable data architectures, and guide the development of modern data platforms. As a key member of our data and analytics team, you will be responsible for defining data architecture frameworks, designing data models, and ensuring that data platforms are aligned with organizational needs and industry best practices. The ideal candidate is adept at navigating complex data environments, collaborating with cross-functional teams, and driving consensus among stakeholders to deliver high-quality, future-ready data solutions.

Specific Duties and Responsibilities:

Key Responsibilities:

Work with clients to understand the business requirements, design and deliver the data lake, data warehouse.

Work with clients to define data governance and compliance strategy.

Point of escalation for data performance challenges.

Own the end-to-end architecture & best practices, ensuring seamless execution.

Engage with client stakeholders to provide technical insights and solution recommendations.

Ensure data security best practices are followed throughout the lifecycle.

Support production deployments, troubleshooting, and optimization efforts.

Qualifications:

13+ years in Data Architecture & Engineering.

Expertise in Data Modeling, managing and governance of data, developing compliance strategies for data

Demonstrate experience in managing Data Lake, experience in setting up data lakes will be an advantage.

Demonstrate experience in setting up a data warehouse and optimizing it.

Demonstrate experience in setting up, optimizing, and maintaining multiple types of databases(SQL, NoSQL, vector database, graph)

Demonstrate experience in managing compliance (HIPAA, GDPR, CCPA) and how to structure data processing securely.

Strong stakeholder management skills - ability to work with US-based teams remotely

Job Purpose (both Onsite / Offshore)

We are looking for a seasoned Azure Architect to lead the design and implementation of high performance, scalable cloud solutions. You will be the bridge between application development and cloud infrastructure, ensuring our .NET applications are not just "on the cloud" but are truly cloud native. The ideal candidate will have a deep background in Platform Engineering, focusing on internal developer experience, automated governance, and robust integration patterns that allow disparate systems to communicate seamlessly.

Job Description / Duties and Responsibilities

• Architectural Leadership: Design end-to-end cloud-native architectures on Azure, focusing on high availability, security, and cost-optimization.

• Platform Engineering: Build and maintain internal developer platforms (IDP) to streamline deployment, observability, and infrastructure provisioning.

• Integration Strategy: Design and implement complex integration patterns using Azure Service Bus, Event Grid, Logic Apps, and API Management (APIM).

• Modern .NET Development: Provide technical oversight and hands-on guidance for .NET Core/8 microservices and serverless functions.

• Infrastructure as Code (IaC): Drive the adoption of Terraform, Bicep, or ARM templates to ensure environment consistency.

• DevSecOps: Implement automated CI/CD pipelines (GitHub Actions or Azure DevOps) with integrated security scanning and compliance checks.

Job Specification / Skills and Competencies

• Azure Mastery: Proven experience with AKS (Azure Kubernetes Service), Azure Functions, App Services, Azure LogicApps, Azure Data Factory, SQL Database, and Cosmos DB.

• Dot Net Expertise: Strong proficiency in C#, ASP.NET Core, and Entity Framework, with a focus on Clean Architecture and Domain-Driven Design (DDD).

• Integration Patterns: Hands-on experience with RESTful APIs, gRPC, and message-based architectures (Pub/Sub).

• Platform Mindset: Experience building scalable delivery pipelines and automated environment provisioning.

• Security: Deep understanding of Azure AD/Entra ID, Managed Identities, and Key Vault. Advantageous Skills (The "Nice-to-Haves")

• Frontend Awareness: Experience with React or modern JavaScript/TypeScript to help bridge the gap between UI requirements and API design.

• Observability: Familiarity with Azure Monitor, Application Insights, and OpenTelemetry.

• Certifications: AZ-305 (Azure Solutions Architect Expert) or AZ-400 (DevOps Engineer Expert). Soft Skills

• Strategic Thinking: Ability to look beyond the immediate sprint and plan for 2-year scalability.

• Mentorship: A passion for upskilling junior and mid-level developers in cloud-best practices.

• Stakeholder Management: Ability to translate complex technical jargon into business value for non-technical stakeholders.

• Adhere to ISMS policies and procedures

Architect - Databricks (Cloud Data)

Job Title: Architect - Databricks (Cloud Data)

Primary skills: Databricks, PySpark, and architecture solutions.

Secondary skills: Unity Catalog, StarBurst, Azure DevOps, CICD, and orchestration layers.

Mode of work: Work from office

Experience: 13+ Years of Experience

Responsibilities:

Lead migration from Native Spark to Databricks.

Architect migration to Databricks.

Build Data Governance solutions using tools like Unity Catalog and StarBurst.

Develop orchestration workflows using Databricks and ADF.

Implement CICD pipelines for Databricks in Azure DevOps.

Process near-real-time data through Auto Loader and DLT pipelines.

Design secure, scalable infrastructure for Delta Lake and Spark SQL.

Optimize Databricks environments for cost-effectiveness.

Extract complex business logic from on-prem solutions like SSIS, Informatica, Vertica, etc., into PySpark.

Build analytical dashboards on top of the Databricks Lakehouse. Requirements - Must Have:

13+ years of overall experience, with at least 4+ years as a solution architect.

Experience with Databricks, PySpark, and modern data platforms.

Expertise in cloud-native data platform architecture and solution design.

Familiarity with Agile/Scrum methodologies.

Experience in pre-sales and in the P&C insurance domain is an advantage.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

Role: Salesforce Technical Architect - Data Cloud

Position: Remote (Contract)

Duration: 6 months (Extendable)

Time zone: UK Time zone

Job Overview:

A Salesforce Technical Architect with specialised experience in Salesforce Data Cloud and associated technologies to join our team. The ideal candidate will possess a deep understanding of Salesforce architecture, data modeling, integration patterns, and cloud-based solutions. The candidate should have a proven track record of designing and implementing scalable, high-performance Salesforce solutions that leverage Salesforce Data Cloud and related technologies.

Responsibilities:

Architecture Design and Planning:

• Design and architect scalable and high-performing Salesforce solutions that leverage Salesforce Data Cloud and associated technologies to meet business requirements.
• Define data models, schemas, and integration patterns to ensure efficient data management and processing within Salesforce.

Salesforce Data Cloud Expertise:

• Serve as a subject matter expert on Salesforce Data Cloud and related technologies, including Salesforce Einstein Analytics, Salesforce Connect, Data Integration, Data Lake, and Data Replication.
• Design and implement data ingestion, transformation, and analytics solutions using Salesforce Data Cloud.

Technical Leadership:

• Provide technical leadership and guidance to development teams, architects, and stakeholders on Salesforce best practices, architecture principles, and data management strategies.
• Mentor and coach team members on Salesforce Data Cloud and associated technologies.

Solution Implementation:

• Lead the implementation of Salesforce solutions, including customization, configuration, data migration, integration, and deployment.
• Collaborate with cross-functional teams to translate business requirements into technical solutions leveraging Salesforce Data Cloud.

Performance Optimisation:

• Identify performance bottlenecks and optimization opportunities within Salesforce solutions and provide recommendations for improving system performance, scalability, and reliability.
• Conduct code reviews, performance tuning, and optimization activities to ensure optimal performance of Salesforce applications.

Documentation and Governance:

• Document technical designs, architecture diagrams, data models, and integration patterns for Salesforce solutions.
• Define and enforce Salesforce development standards, best practices, and governance policies.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (Master's degree preferred).
• 8+ years of experience in Salesforce development and architecture roles, with a focus on Salesforce Data Cloud and associated technologies.
• Salesforce certifications such as Salesforce Certified Technical Architect (CTA), Salesforce Certified Application Architect, Salesforce Certified System Architect, or equivalent certifications preferred.
• In-depth knowledge of Salesforce platform capabilities, features, and limitations, including Salesforce Data Cloud, Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Hands-on experience with Salesforce integration technologies such as Salesforce Connect, Salesforce Data Loader, Salesforce API, REST/SOAP APIs, and middleware platforms.
• Experience with data modeling, ETL processes, and data warehousing concepts.
• Strong understanding of cloud computing principles, architectures, and best practices.
• Excellent communication, collaboration, and stakeholder management skills.
• Ability to work independently and lead technical discussions and workshops.
• Experience with agile development methodologies and tools such as JIRA, Confluence, or Azure DevOps.

KPI Partners is seeking a talented Databricks Architect to join our dynamic team. The ideal candidate will have extensive experience with Databricks and a strong proficiency in SQL, PySpark, Azure, and Python. This role involves designing and implementing data solutions on the Databricks platform that meet our clients' needs.

Key Responsibilities:

- Design and develop scalable data pipelines using Databricks.

- Collaborate with data scientists and engineers to build robust data architectures.

- Utilize SQL and PySpark for data manipulation and analysis.

- Implement best practices in data governance and security in Azure environments.

- Optimize existing data workflows for improved efficiency and performance.

- Provide technical guidance and support to internal teams and clients.

- Stay updated on the latest Databricks features and industry trends to enhance solutions.

Required Skills and Qualifications:

- Strong expertise in Databricks and its ecosystem.

- Proficient in SQL and PySpark for data processing and analysis.

- Experience with Azure cloud services and their integration with Databricks.

- Solid understanding of Python for data engineering tasks.

- Excellent problem-solving skills and the ability to work collaboratively.

- Strong communication skills to effectively interact with clients and team members.

We're looking for a Technical Architect to join our Core engineering team in Noida.

Working at Taazaa involves engaging with cutting-edge technology and innovative software solutions in a collaborative environment. We emphasize on continuous professional growth, offering workshops and training. Our employees often interact with clients to tailor solutions to business needs, working on diverse projects across industries. We promote work-life balance with flexible hours and remote options, fostering a supportive and inclusive culture. Competitive salaries, health benefits, and various perks further enhance the work experience.

Looking ahead, we aim to expand our technological capabilities and market reach, investing in advanced technologies and expanding our service offerings. We plan to deepen our expertise in AI and machine learning, enhance our cloud services, and continue fostering a culture of innovation and excellence. Taazaa is committed to staying at the forefront of technology trends, ensuring it delivers impactful and transformative solutions for its clients.

We are seeking for an ambitious and self-driven Technical Architect in .Net with expertise in .NET Core, Microservices, Web API, LINQ, Software design and enterprise architecture patterns to join our team. As an architect, you will be responsible for making design choices, coordinate & oversee technical standards including software coding standard, tools and platforms. The ideal candidate should be strong in model training and deep learning. A deep knowledge of modern software development practices and the ability to lead and mentor a development team is good to have.

What you'll do:

Architecture Design and Strategy:

Design scalable, reliable, and high-performance architecture for web applications.

Develop and maintain architectural guidelines, standards, and best practices.

Evaluate and promote new technologies and development stacks to ensure the team stays up to date with industry trends.

Understand system and infrastructure requirements, including databases, caching, and deployment.

Design Patterns and Best Practices:

Apply and promote the use of design patterns and best practices in software development.

Conduct regular code reviews and provide constructive feedback to maintain high-quality standards.

Continuously assess and improve architectural processes and methodologies.

Stay abreast of emerging technologies and industry best practices to drive innovation within the team.

Roadmap and Product Vision:

Collaborate with stakeholders to understand product requirements and business goals.

Define and maintain the technical roadmap aligning with the product vision.

Ensure the architecture supports future growth and scalability needs.

Team Collaboration and Leadership:

Work closely with product managers, developers, and other stakeholders to deliver high-quality solutions.

Lead technical discussions, workshops, and training sessions to upskill the team.

Your qualifications

Technical:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven experience as a Technical Architect, or similar role.

• 10 + years of designing and delivering .Net / SQL Server / Web Applications.
• Working knowledge of software design and enterprise architecture patterns.
• In-depth familiarity with Agile methodologies and pair programming is a plus
• Experience introducing new technologies & using open source solutions to solve problems
• Demonstrated experience with developing RESTful web services in production environment
• Demonstrated experience with unit/integration/functional testing.
• Demonstrated experience in the mechanisms source control, repositories, Wikis.
• Demonstrated experience in continuous integration.
• Strong analytical and critical thinking skills.
• Working knowledge of Microsoft Stack technologies.
• .NET Core 2+, Entity Framework, Web API, REST
• RDBMS - MS SQL Server, MySQL, PostgreSQL (any of these). Working knowledge with NoSQL such as MongoDB is a plus.
• Nice to have hands on exp for Frontend stack - JavaScript / ReactJS / Angular 2+.
• Demonstrated experience designing and architecting scalable and resilient software.
• Hands on experience with AI Productivity tools such as Chat GPT, Copilot, Gemini, Claude.

Behavioural:

Here are five essential behavioural skills a Technical Architect should possess:

• Effective Communication: Clearly and concisely convey ideas, requirements, and feedback to team members, stakeholders, and clients, fostering an environment of open dialogue and mutual understanding.
• Leadership and Mentorship: Inspire and guide the development team, providing support and encouragement, while promoting a culture of continuous learning and improvement.
• Problem-Solving Attitude: Approach challenges with a proactive mindset, quickly identifying issues and developing innovative solutions to overcome obstacles.
• Collaboration and Teamwork: Work well within a team, encouraging collaboration and valuing diverse perspectives to achieve common goals and deliver high-quality results.
• Adaptability and Flexibility: Stay adaptable in a fast-paced, dynamic environment, effectively managing changing priorities and requirements while maintaining focus on project objectives.

What you'll get in return

Joining Taazaa Tech means thriving in a dynamic, innovative environment with competitive compensation and performance-based incentives. You'll have ample opportunities for professional growth through workshops and certifications, while enjoying a flexible work-life balance with remote options. Our collaborative culture fosters creativity and exposes you to diverse projects across various industries. We offer clear career advancement pathways, comprehensive health benefits, and perks like team-building activities.

Who we are

Taazaa Tech is a kaleidoscope of innovation, where every idea is a brushstroke on the canvas of tomorrow. It's a symphony of talent, where creativity dances with technology to orchestrate solutions beyond imagination. In this vibrant ecosystem, challenges are sparks igniting the flames of innovation, propelling us towards new horizons.

Welcome to Taazaa, where we sculpt the future with passion, purpose, and boundless creativity.

Job Description - Apigee Solution & Platform Architect

Position Overview

We are seeking a Seasoned Apigee Solution & Platform Architect with 13+ years of overall IT experience and 5+ years of hands-on expertise in Apigee (Hybrid/Edge/X), Microservices, and Kubernetes/Anthos.

The role requires end-to-end ownership of API and platform architecture, including solution design, infrastructure engineering, production stability, and innovation. The ideal candidate will bring deep Banking & Payments domain expertise and leverage Generative AI to drive automation, observability, and predictive operations in a banking-grade environment.

Key Responsibilities

1. Apigee & Microservices Solution Architecture

• Lead API proxy and microservice design, development, and governance using Apigee Hybrid/Edge/X.
• Review and approve solution designs, enforcing architectural best practices and security standards.
• Conduct architecture gap assessments and recommend scalable, compliant solutions.
• Drive quarterly innovation initiatives, introducing emerging technologies and GenAI-based accelerators.

2. Platform & Infrastructure Engineering

• Architect, deploy, and manage Apigee Hybrid on Anthos/GKE/NodePort clusters.
• Design and implement CI/CD pipelines for deployments, patching, and platform upgrades.
• Ensure platform resilience, high availability, disaster recovery (DR), and failover readiness.
• Administer and optimize Kubernetes components (pods, nodes, ingress/egress, storage policies).
• Provide hands-on expertise in Linux system administration and performance tuning.

3. Networking & Infrastructure Architecture

• Design and maintain GSLB, Load Balancers, and Citrix NetScaler/F5 for high availability.
• Validate DNS configurations, TLS certificates, firewall rules, and connectivity policies.
• Optimize network throughput, latency management, and failover mechanisms.

4. Production Support & RCA Ownership

• Own end-to-end production support for Apigee runtime, APIs, and platform infrastructure.
• Establish a strong RCA and problem management culture:
• Raise problem tickets
• Document root causes and preventive actions
• Implement long-term corrective fixes
• Proactively identify potential issues using monitoring, automation, and AI/ML-driven analytics.
• Improve patch responsiveness through automation-driven rollout processes.

5. Banking & Payments Domain Expertise

• Strong understanding of banking and payments systems, including:
• Trade Finance integration flows
• Inbound/Outbound Merchant Payments (Cards, UPI, Wallets, etc.)
• RIB (Retail Internet Banking) and CIB (Corporate Internet Banking)
• NPCI payment models and settlement processes
• Translate business payment flows into scalable API and microservice architectures.
• Ensure compliance with regulatory standards such as RBI, NPCI, and ISO 20022.

6. Generative AI & Emerging Technologies

• Apply Generative AI/ML in:
• Automated log analysis and knowledge extraction
• Predictive anomaly detection and issue prevention
• AI-assisted RCA, compliance, and design documentation
• Conversational interfaces/chatbots for DevOps and support teams
• Evaluate and propose GenAI-driven solutions to enhance delivery, observability, and operations.

Required Skills & Experience

• 10+ years of IT experience, with 5+ years in Apigee (Hybrid/Edge/X).
• Strong expertise in API design, shared flows, governance, debugging, and performance optimization.
• Deep knowledge of Banking & Payments domain (Trade, Merchant Payments, RIB, CIB, NPCI).
• Hands-on experience with:
• Kubernetes (GKE, Anthos)
• Linux (RHEL/Ubuntu)
• Networking: GSLB, Load Balancers, Citrix NetScaler/F5, DNS, TLS, Firewalls
• Proven experience in infrastructure automation using CI/CD, Git, Jenkins, Helm, Terraform, or equivalent tools.
• Exposure to Generative AI/ML tools for automation, monitoring, or documentation.
• Strong communication, stakeholder management, and technical leadership skills.
• Experience in BFSI production environments is highly desirable.

Preferred Certifications

• Google Cloud / Apigee
• Professional Cloud Architect
• Apigee API Engineer
• Kubernetes
• Certified Kubernetes Administrator (CKA) / Certified Kubernetes Application Developer (CKAD)
• AI / GenAI
• Google Cloud Generative AI Professional Certificate
• AWS AI/ML Specialty
• Microsoft AI Engineer Associate
• IT Service Management
• ITIL v4 or equivalent

Role: Data Science Solution Architect

Experience: 12-15 Years

Location: Hyderabad / Mumbai

about alliantgroup

alliantgroupis a global professional services firm (PSF) that is focused on providing business consulting, digital transformation, taxation (Credits and Incentives), and accounting services. The purpose of the firm is to strengthen American businesses. The company was founded in 2002 and is headquartered in Houston, Texas. In the US we have offices in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, and Washington, D.C. In UK we have offices in London and Bristol. We also have an office in Hyderabad, India.

More about our culture and why we love alliantgroup

alliantTALENT:

alliantTALENT subsidiary of alliantgroup was incorporated several years back in Hyderabad. It has over 1,000 employees who provide professional services to US and UK clients. Our Core Values that focus on Exceptional Client Experience, High Performance, and People development set us apart from other PSFs.

At alliantTalent, professionals get an exceptional opportunity to work directly with US and UK client. This is also one of our key differentiating factors. They also get the opportunity to work on cross-service line projects, enabling them to become more rounded professionals.

We are seeking a seasoned Data Science Solution Architect to lead the design and delivery of advanced analytics and AI solutions. The role requires deep expertise in predictive modeling, recommendation systems, and deep learning, combined with strong architectural acumen and stakeholder engagement capabilities.

This position sits at the intersection of strategy, architecture, and hands-on technical leadership.

What will be your responsibilities:

Solution Architecture & Design

• Define end-to-end data science and AI solution architectures.
• Translate business problems into analytical frameworks and scalable ML architectures.
• Design real-time and batch predictive systems across cloud-native environments.
• Architect enterprise-grade recommendation engines (collaborative, content-based, hybrid).

Advanced Modeling & AI

• Lead development of:
• Regression, classification, and time-series forecasting models
• Propensity, churn, demand forecasting, and risk models
• Recommendation systems (matrix factorization, deep learning-based, graph-based)
• Deep learning models (CNNs, RNNs, Transformers)
• Apply MLOps best practices for production deployment and monitoring.

Technical Leadership

• Provide technical governance across AI programs.
• Establish model validation, fairness, explainability, and performance benchmarking frameworks.
• Mentor data scientists and ML engineers.
• Conduct architecture reviews and code reviews.

Cloud & MLOps

• Architect ML lifecycle pipelines on Azure / AWS / GCP.
• Implement CI/CD for ML, feature stores, model registries.
• Optimize model performance and cloud cost.

Stakeholder & Consulting Engagement

• Engage CXO and business stakeholders to define AI roadmaps.
• Develop solution proposals, estimation models, and capability decks.
• Lead PoCs and scale them into enterprise solutions.

What are we looking for:

Technical:

• Strong expertise in:
• Python (NumPy, Pandas, Scikit-learn)
• TensorFlow / PyTorch
• ML frameworks for recommendation systems
• SQL and distributed computing (Spark)
• Experience with:
• Azure ML / Databricks / AWS SageMaker
• Model explainability (SHAP, LIME)
• Feature engineering and feature stores
• Understanding of:
• Statistical modeling and hypothesis testing
• Optimization techniques
• Graph analytics (preferred)
• Architecture
• Experience designing scalable ML systems.
• Exposure to microservices and API-based model serving.
• Familiarity with data platform architecture (Lakehouse, data pipelines).

Experience:

• 12-15 years in analytics, data science, or AI.
• 4+ years in solution architecture or technical leadership role.
• Proven record of deploying production-grade ML systems

What we offer:

With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.

Join us and bring your curiosity to life!

Snowflake Solution Architect - Azure

Experience Required

• Total IT Experience: 12+ years
• Data Warehousing / BI Experience: 8+ years
• Snowflake Experience: 4-6+ years (minimum 3 enterprise implementations)
• Azure Cloud Experience: 4+ years

Role Summary

We are looking for a seasoned Snowflake Solution Architect with strong expertise in Azure cloud to design and deliver scalable, secure, and high-performance data platforms. The candidate will lead end-to-end architecture, migration, modernization, governance, and cost optimization initiatives on Snowflake deployed over Azure.

Mandatory Technical Skills

1️ Snowflake (Core - Mandatory)

• Snowflake Architecture & Virtual Warehouses
• Multi-cluster warehouse setup
• Snowpipe, Streams & Tasks
• Time Travel & Zero-Copy Cloning
• Query Performance Tuning & Optimization
• Micro-partitioning & Clustering strategy
• RBAC, Dynamic Data Masking & Row Access Policies
• Secure Data Sharing
• Cost optimization & resource governance
• Cross-region replication & DR strategy

2️ Azure Cloud (Mandatory)

Hands-on architecture experience in:

• Azure Data Lake Storage (ADLS Gen2)
• Azure Data Factory (ADF)
• Azure Synapse (integration knowledge)
• Azure Active Directory (AAD) integration
• Azure Key Vault
• Azure DevOps
• Event Hub (Good to have for streaming)
• Azure Functions (Optional)

3️ Data Engineering & ELT

• Advanced SQL (Mandatory)
• Python (Preferred)
• dbt (Strongly Preferred)
• ADF / Informatica / Matillion (Any one mandatory)
• Experience designing large-scale ELT pipelines
• Batch & Near real-time ingestion patterns

4️ Data Modeling

• Dimensional Modeling (Kimball)
• Data Vault 2.0
• Star & Snowflake Schema design
• CDC implementation strategies

5️ DevOps & Automation

• CI/CD pipelines using Azure DevOps
• Git-based version control
• Infrastructure as Code (Terraform preferred)
• Automated deployment of Snowflake objects

Key Responsibilities

• Architect Snowflake solutions on Azure
• Lead data warehouse migration (Teradata / Oracle / SQL Server to Snowflake)
• Define security & governance framework
• Design scalable ingestion and transformation architecture
• Implement performance tuning best practices
• Define data standards & modeling framework
• Guide cost optimization strategy
• Provide technical leadership to data engineers
• Conduct solution design reviews & architecture governance

Certifications (Preferred but Strongly Recommended)

• SnowPro Core Certification
• Azure Data Engineer Associate (DP-203)
• Azure Solutions Architect (AZ-305)

Soft Skills

• Strong stakeholder engagement
• Client-facing architecture experience
• Excellent documentation & presentation skills
• Experience leading 8-15 member technical teams

Ideal Candidate Profile

Experience handling 5TB+ data platforms

Experience in multi-region Azure deployments

Exposure to financial services / retail / healthcare domain (preferred)

Experience in cost governance & performance benchmarking

Experience : 9+ yrs

Work Timings : 2 PM - 11 PM IST

• Analyze and recommend Plant structure based on complex business structure
• Analyze and recommend part number structure for eliminating duplicates
• Automate warehouse Transfer Orders from warehouse to warehouse that supplies production process (only kitting, now manufacturing)
• Analyze and implement warehouse putaway strategies to optimize inventory picks and physical inventory
• Proactive management of obsolete inventory due to customer order cancelation
• Manage and automate substitutions and Engineering Change Record processes
• Analyze and implement visibility of inventory in the supply chain including supplier shipments and Freight Forwarder including possible EDI transactions
• Improve efficiencies of receiving process by potentially perform full shipment receipts vs line-by-line receiving
• Analyze and implement planning from non-SAP systems into SAP with existing SAP DC demand for production planning

if you interested, please share your updated resume to

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

Company Description:

Hyly.AI is the multifamily industry's premier Intelligence Fabric , integrating Artificial, Business, and Human Intelligence into a single system designed to drive operational growth. By transforming raw data into actionable decisions and measurable results, Hyly.AI enables scalable operations without the need for additional resources. Founded in 2010, Hyly.AI has over a decade of experience in simplifying complex processes for multifamily leaders, helping them optimize efficiency and increase ROI. Trusted by 4 out of the top 5 NMHC managers, Hyly.AI empowers teams to focus on building meaningful communities rather than handling repetitive, manual tasks.

Role Description:

We are hiring a Senior AI/ML Architect - Agentic Conversational AI (6+ Years Experience 100% Remote) to own and evolve the end-to-end AI architecture behind Hyly's conversational platform. This is a hands-on architectural leadership role for someone with 6+ years of production AI/ML experience, including deep experience in:

• LLM orchestration & agentic workflows

• Retrieval-Augmented Generation (RAG) • Real-time, low-latency serving

• Evaluation-driven development

• Production observability and rollout safety. You will define how AI systems are designed, measured, deployed, and scaled across multiple channels.

Must Have Qualifications:

• 6+ years of professional AI/ML systems experience.
• 3+ years building conversational AI systems in production.
• Proven experience deploying LLM-based architectures (OpenAI, Claude, Llama/DeepSeek-class).
• Hands-on experience with agentic systems: Tool calling Structured outputs Policy control
• Strong RAG expertise with vector databases and reranking.
• Deep understanding of latency and cost optimization.
• Strong Python skills: experience with async services (Fast API preferred).
• MLOps experience: CI/CD Model & prompt versioning Containers and Kubernetes Feature flags and canary releases
• Strong systems design and cross-team leadership skills.
• Experience with observability in production AI systems.

Job Responsibilities:

Architecture & Platform Ownership

• Own the architecture of Hyly's agentic conversational platform across chat, voice, SMS, and email.

• Define service boundaries, interface contracts, and scalability patterns.

• Ensure reliability, modularity, and extensibility.

Agentic Orchestration

• Design and evolve the orchestrator layer:

Intent routing

Tool schemas

Policy enforcement

Memory management

Structured outputs

RAG & Knowledge Systems

• Build and standardize RAG pipelines:

Hybrid retrieval

Embeddings + reranking

Grounded responses with citations

Performance & Cost Optimization

• Optimize real-time inference using:

Keyword & semantic caching

Streaming, batching, prompt compression

Cost/latency trade-off analysis

Evaluation & Quality

• Establish eval-driven delivery:

Offline and online benchmarks

Regression detection

Rollout gates tied to business metrics

• Ensure AI quality improves continuously-not just features.

Observability & Reliability

• Implement production-grade observability:

Distributed tracing

Error taxonomies

SLOs and alerting

• Lead incident response and postmortems.

Leadership & Standards

• Mentor engineers and set AI architecture standards.

• Define best practices for versioning, rollouts, and documentation.

• Partner closely with Product, API, FE, and QA teams.

Nice to Have (Qualifications):

1. Remote Team Management Experience: Experience managing teams in a remote environment, ensuring effective communication and productivity.

2. Cross-Functional Team Leadership: Proven ability to lead cross-functional teams, managing dependencies and ensuring smooth coordination.

3. Strong collaborative development skills using Git and version control systems.

NetSuite Technical Developer

Experience: 7+ Years

Location: Hyderabad

Employment Type: Full-Time

Job Summary

We are seeking an experienced NetSuite Technical Developer to support and enhance our NetSuite ERP platform. This role involves hands-on development, SuiteScript customization, workflow automation, and integration support across Finance, Procurement, Grants, and related functions.

The ideal candidate will have strong technical expertise in NetSuite development and experience working within enterprise architecture and SDLC frameworks.

Key Responsibilities

• Develop and maintain custom solutions using SuiteScript (1.0/2.X), workflows, saved searches, custom records, and forms .
• Support core ERP modules including GL, AP/AR, Procurement, Fixed Assets, and Project Accounting.
• Design and troubleshoot integrations between NetSuite and systems like Salesforce, HRIS, Concur , and other platforms.
• Participate in full SDLC lifecycle including design, development, testing, and deployment.
• Provide Tier 2/3 support and resolve complex scripting and data issues.
• Ensure compliance with security, governance, and audit standards.

Required Skills

• 7+ years of hands-on NetSuite technical experience.


Keylent Inc



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