Experience: 5+ years
Preferred Location: Bangalore / Hyderabad / PAN India
Shift time: 2 PM - 11 PM IST
Role Summary:
Join our team as a Senior Databricks Platform Engineer to support architecture, operational engineering, platform enablement, and modernization activities across a growing Databricks-centered enterprise data platform.
Tech Stack:
- Databricks
- Azure Cloud
- Delta Lake
- Unity Catalog
- Spark
- Azure DevOps
- GitHub
Key Responsibilities:
- Support architecture and operational engineering across enterprise Databricks environments.
- Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions.
- Optimize Spark workloads, cluster configurations, and platform performance.
- Support integration of Databricks platforms with Azure-native ecosystems and enterprise applications.
- Collaborate with platform and DevOps teams to align Databricks activities with existing CI/CD and automation standards.
- Support governance, access management, monitoring, logging, and operational security practices.
Required Skills:
- 6+ years of experience within cloud, platform engineering, data engineering, or enterprise analytics ecosystems.
- 3+ years of hands-on experience supporting enterprise Databricks environments.
- Strong experience with Delta Lake, Unity Catalog, Spark workloads, and cluster operations.
- Experience with Azure cloud services and cloud-native platform concepts.
- Familiarity with Azure DevOps, GitHub workflows, and CI/CD pipeline concepts.
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