Databrick Platform Engineer

Cirruslabs; Hyderabad, Pune District, Bengaluru; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Cirruslabs is seeking a Senior Databricks Platform Engineer to support architecture, operational engineering, platform enablement, and modernization across a Databricks-centered enterprise data platform.

The role requires 6+ years in cloud/platform/data engineering, with hands-on Databricks experience and strong Delta Lake/Unity Catalog expertise. Location includes Bangalore/Hyderabad with standard shift aligning IST.

Qualifications

• 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.

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.

Skills

Databricks

Azure Cloud

Delta Lake

Unity Catalog

Spark

Tools

Azure DevOps

GitHub

Job description

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.

Experience: 5+ years

Shift time: 2 PM - 11 PM IST

Location: Bangalore/Hyderabad

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.