Seeking a Senior Databricks Engineer to design, implement, automate, and support enterprise Databricks platforms across AWS, Azure, and GCP. Responsibilities include managing Databricks workspaces, cloud integration, migration to Lakehouse architecture, automation via Infrastructure-as-Code and CI/CD, security and governance implementation, performance and cost optimization, monitoring, and AI/GenAI platform enhancements. Requires 6+ years IT experience with 3+ years in Databricks, expertise in Spark, PySpark, SQL, Delta Lake, Unity Catalog, and cloud platforms. Strong Python scripting, Terraform, CI/CD, networking, and database experience needed. B.S./B.E or equivalent required. Preferred certifications include Databricks Professional Data Engineer and cloud certifications. Location: Bengaluru, Karnataka, India.
What you'll do
Design, deploy, administer, and manage lifecycle of enterprise Databricks workspaces across AWS, Azure, and GCP
Enable secure connectivity, authentication, networking, and integration between Databricks and enterprise cloud platforms and databases
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