[Hiring] Senior Databricks Platform Engineer @Sparix Global.

Role Description

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.

Qualifications

• 5+ years of experience
• Preferred Location: Bangalore / Hyderabad / PAN India
• Shift time: 2 PM - 11 PM IST

Requirements

• 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.

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.