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.
- 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.

📌 Senior Databricks Platform Engineer (India)
🏢 Sparix Global
📍 India