TCS Hiring for Multi cloud Databricks Data Architect_PAN India

4 weeks ago


Delhi, Delhi, India Tata Consultancy Services Full time

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


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