Job Title

TCS Hiring for Multi cloud Databricks Data Architect_PAN India Experience: 7 to 15 Years Only Job Location: PAN India TCS Hiring for Multi cloud Databricks Data Architect_PAN India Required Technical Skill Set: 7 to 15 yrs. of experience of Data Architecting Experience complex data warehousing and data transformation engagements spanning the entire data management life cycle from ingestion to reporting. Certified Databricks Architect and AWS Data and Analytics Specialist Professional Cloud based Centralized Data Platform Architecting and Design Experience Experience in creating different Architecture views and HLD patterns Experience of Architecting and Implementation Databricks Data Platform on AWS at least one program Experience of Architecting and designing EDP on Databricks, at least one large program Experience of AWS Services for Data and Analytics Experience of Architecting/ design common data pipeline design patterns (end to end), (Real time, near real time, batch etc. for structured, semi-structured and unstructured data Experience of architecting/designing large-scale Data Migration (on-premises to AWS/Databricks) Experience of validating important Architecture and design concept via PoCs Should be able to conduct design reviews with client architects and articulate design decisions Soft Skills: Good Communication skills and eagerness to learn Work in harmony with different teams to achieve solution goals Should have good knowledge on best practices and coding standards on cloud/Databricks environments. Strong in reasoning skills and troubleshooting the problems Key responsibilities: Lead the Databricks Center of Excellence by defining vision, strategy, and roadmap to scale Databricks adoption across business units. Develop and promote best practices, architecture standards, and governance policies around Databricks and Spark-based data processing. Provide technical leadership and mentorship to the team on Databricks platform capabilities. Evaluate new Databricks features, integrations, and third-party tools to enhance platform capabilities. Monitor and optimize Databricks platform usage and performance for cost efficiency and reliability. Communicate with Databricks & AWS Partner team. Kind Regards, Priyankha M