Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
First seen by Alion on Nov 10, 2026.
Overview
Company
Impact
Profile match
Unlock safe, scalable AI adoption with Cirrus Labs. We align strategy, engineering, and compliance to deliver production-ready AI solutions for enterprises.
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.
Skills
Azure, Azure Cloud, Databricks, Spark
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