Posted on: 13/07/2025
Platform Engineer (Databricks - Multi-Cloud Focus)
Location : Noida, Gurgaon, Hyderabad, Bangalore, Pune, India
We're looking for a talented Platform Engineer to join our team and play a key role in managing and supporting our Databricks environments across both AWS and Azure.
If you're passionate about platform configuration, security, automation, and building robust CI/CD pipelines in a multi-cloud setting, this role is for you!
What You'll Do :
- Manage Databricks Platform : Configure and manage Databricks workspaces, ensuring optimal performance and resource utilization.
- Data Governance with Unity Catalog : Implement and oversee Databricks Unity Catalog to effectively organize, govern, and manage data assets, ensuring data quality and discoverability.
- Access Control & Security : Set up and manage Role-Based Access Control (RBAC) to define granular user and group permissions within Databricks.
- Integrate with Azure Active Directory (AD) groups for streamlined identity management.
- Automation & API Integration : Leverage Databricks APIs and Service Principals to automate routine tasks, build custom integrations, and ensure secure programmatic access to the platform.
- Networking & Cloud Connectivity : Configure and troubleshoot network connectivity (NCC) for Databricks on both AWS and Azure, ensuring seamless data flow and secure communication.
- System Monitoring : Monitor Databricks systems and integrated cloud services for performance, availability, and potential issues, proactively addressing any anomalies.
- Scripting & Automation : Write robust automation scripts using Python and PowerShell to streamline operational tasks and enhance platform efficiency.
- Infrastructure as Code (IaC) : Utilize Terraform to define, provision, and manage infrastructure components for Databricks environments, ensuring consistency and repeatability.
- DevOps & CI/CD : Build, maintain, and optimize deployment pipelines using Azure DevOps to facilitate continuous integration and continuous deployment of platform configurations and applications.
- Testing : Develop and implement unit tests and integration tests using Pytest to ensure the quality, reliability, and stability of platform code and configurations.
Core Skills & Qualifications :
- Proven experience as a Platform Engineer or similar role, with a strong focus on Databricks environments.
- Hands-on expertise with Databricks Unity Catalog.
- Solid understanding and practical experience with access controls (RBAC), Databricks APIs, and Service Principals.
- Experience integrating with Azure Active Directory (AD) groups.
- Proficiency in configuring and troubleshooting network connectivity (NCC) on both AWS and Azure.
- Strong scripting skills in Python and PowerShell.
- In-depth experience with Terraform for Infrastructure as Code.
- Demonstrated ability to build and manage deployment pipelines using Azure DevOps.
- Experience in writing unit tests and integration tests using Pytest.
- Familiarity with monitoring tools and best practices for cloud platforms.
- Excellent problem-solving skills and the ability to diagnose complex technical issues.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
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Posted By
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1512376
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