
TCS Hiring for Multi cloud Databricks Data Architect_PAN India
4 weeks ago
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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