About this role
**Job Title:** Senior Databricks Data Engineer
**Experience:** 8+ Years | **Databricks:** 3+ Years in Production
**Role Level:** Senior Technical Lead
**Job Summary**
We are seeking a Senior Databricks Data Engineer to lead engineering standards, Lakehouse architecture, medallion design, pipeline development, orchestration, and CI/CD. The role also involves Oracle-to-Databricks migration assessment, metadata harvesting, and dependency analysis.
**Key Responsibilities**
- Define Bronze, Silver, and Gold medallion architecture and engineering standards.
- Build and optimize Lakeflow Declarative Pipelines (SDP/DLT) using PySpark and Delta Lake.
- Design Databricks Workflows orchestration, monitoring, retries, and alerting.
- Lead CI/CD implementation using Azure DevOps, Git, and Databricks Asset Bundles.
- Analyze Oracle metadata, PL/SQL procedures, and dependencies for migration assessment.
- Establish data quality, testing, documentation, and deployment standards.
**Mandatory Skills**
- 8+ years in Data Engineering, including 3+ years of production Databricks Lakehouse experience.
- Databricks Certified Data Engineer Associate or Professional.
- Strong expertise in Medallion Architecture, Delta Lake, Lakeflow/SDP, and Databricks Workflows.
- Advanced SQL, PySpark, Oracle PL/SQL, Azure DevOps, and Databricks Asset Bundles.
- Proven experience defining engineering standards adopted by multiple teams.
**Preferred:** Oracle-to-Databricks migration, Unity Catalog, SAP Datasphere, Azure Data Factory, and public-sector project experience.
Pay: ₹510,000.00 - ₹1,880,000.00 per year
Work Location: Remote
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.