*Designation: Sr. Manager*
*Job Location: Bengaluru/ Delhi NCR*
*Shift Timing: 1:00PM IST – 10:00 PM IST*
*Experience: 5+ years*
Job Responsibilities:
- Design and build scalable, production-grade data engineering solutions using the Databricks Lakehouse Platform
- Develop client-focused Proof of Concepts (POCs) demonstrating contemporary data engineering and analytics capabilities
- Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
- Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
- Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities
- Stay current with new Databricks product capabilities and recommend innovative approaches for solving client challenges
- Collaborate with cross-functional teams including Data Scientists, AI Engineers, Cloud Engineers, and Business Consultants
- Mentor junior engineers and contribute to developing reusable solution accelerators and best practices
Must have:
- 5+ years of experience in Data Engineering
- Expert knowledge of the Databricks platform and its ecosystem, with prefer
- Demonstrated ownership of cost optimization for Databricks workloads, including cluster policies, workload isolation, Photon usage, job vs. interactive compute, and SQL/query cost management
- Exposure to Generative AI, LLMs, AI Agents, or AI-assisted data engineering
- Strong hands-on experience with Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, Databricks SQL, Spark SQL, and PySpark.
- Deep understanding of data modeling, distributed computing, and modern data architecture principles
- Experience building scalable ETL/ELT pipelines for enterprise workloads
- Hands-on experience with workflow orchestration using Databricks Workflows, Airflow, or similar orchestration platforms
- Expertise in data governance, security, and access controls, incl
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