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.
• Robust 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.

📌 Senior Databricks Platform Engineer (Bengaluru)
🏢 cirruslabs
📍 Bengaluru