TCS Hiring for Hybrid Cloud Data Solutions Architect(GCP,Azure,AWS)_Kolkata / Hyderabad Experience: 12 to 20 Years Only Job Location: Kolkata / Hyderabad Only TCS Hiring for Hybrid Cloud Data Solutions Architect(GCP,Azure,AWS)_Kolkata / Hyderabad Required Technical Skill Set: Experience: Minimum of 8 years in data architecture or 10 years in engineering roles related to hybrid / multi cloud solutions, with a proven track record of successful client engagements. Technical Skills: Proficiency in two or more cloud platforms (AWS, Azure, GCP) related data services - Redshift, BigQuery, Synapse, Databricks, ADF, Glue, AWS EMR, Azure Insights, GCP Data Proc, GCP DataFlow etc., Experience in architecting applications leveraging containerization (Docker, Kubernetes), Cloud native (IaaS, PaaS, SaaS), Hybrid / Multi-Cloud, Hardware OEMs, Network, Security, Microservices, FinOps, iPaaS and APIs, Infrastructure as Code (IaC) tools (Terraform, CloudFormation), and CI/CD pipelines. Strong knowledge of enterprise architecture principles. Communication Skills: Excellent communication abilities to engage effectively with both technical and non-technical stakeholders to articulate technical concepts. Desirable Skill Set: Knowledge of any specific industry verticals (e.g., BFSI, Healthcare, Manufacturing, Telecom / Media). Technical certifications related to cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert). Relevant cloud certifications (e.g., AWS Certified Solutions Architect) are preferred; must obtain certification within 90 days of employment. Understanding of DevOps concepts. Ability to lead cross-functional teams effectively. Key Responsibilities: Strategy & Design: Develop a comprehensive data strategy on Multi / Hybrid Cloud scenarios aligned with business goals. Design scalable, secure, and cost-effective Data solutions. Evaluate and select cloud platforms (AWS, Azure, GCP, OCI, IBM, Nutanix, Neo Cloud, etc.) and third-party tools. Develop blueprint, roadmap and drive implementation of data architecture, framework related epics / user stories Data modeling based on the business use cases Solution Design: Design data ingestion layer and data movement from ingestion layer to operational / analytical layers Design of data consumption layer (visualization, Analytics, AI/ML, outbound data) Design data governance track - framework design for data quality, data security, metadata etc., Architect tailored cloud solutions that leverage best practices and meet specific client requirements, utilizing native data services such as AWS, Azure, Google Cloud services Ability to understand data pipelines and modern ways of automating data pipeline using cloud based and on-premise technologies Good knowledge of any RBDMS/NoSQL database with strong SQL writing skills Good understanding of ML and AI concepts and Propose solutions to automate the process Technical Presentations: Conduct workshops and presentations to demonstrate solution feasibility and value, fostering trust and engagement with stakeholders. Proof of Concept (POC): Lead the design and implementation of POCs to validate proposed solutions, products against features & cost. Implementation & Management: Guide technical solution development in engagements related to Legacy modernization, migration of applications and infrastructure to hybrid cloud, Engineered cloud, etc. Guide, mentor the data development squads and review the deliverables, as required. Kind Regards, Priyankha M
