Databricks Platform Admin

Cirruslabs; Hyderabad, Mangaluru, Bengaluru; Hybrid; INR 1,800,000 - 2,900,000; Full time

Job summary

CirrusLabs, LLC is seeking a Senior Databricks Platform Engineer to support architecture, operational engineering, platform enablement, and modernization across a Databricks-centered data platform. The role focuses on enterprise-grade Lakehouse and Unity Catalog solutions, Delta Lake, and Spark workload optimization in an Azure environment.

The successful candidate will collaborate with platform and DevOps teams to align Databricks activities with CI/CD standards and ensure governance, access

Qualifications

• 6+ years of experience in cloud/platform engineering, data engineering, or enterprise analytics.
• 3+ years of hands-on experience with 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 pipelines.

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 CI/CD and automation standards.
• Support governance, access management, monitoring, logging, and security practices.

Skills

Cloud & platforms

Data engineering

Enterprise analytics

Platform engineering

Tools

Databricks

Delta Lake

Unity Catalog

Spark

Azure DevOps

GitHub

Job description

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.
• 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.