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 modern 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 contemporary 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, including Unity Catalog, RBAC, data masking, a

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