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. Solid 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.