Azure Databricks L3 Engineer

Azure Databricks L3 Engineer

Role Summary:
Responsible for managing, optimizing, and troubleshooting enterprise-scale Azure Databricks environments and related data pipelines.

Mode: WFH

Key Responsibilities:

• Provide L3 operational support for Azure Databricks clusters and jobs.
• Manage workspace configuration, cluster performance, and cost optimization.
• Troubleshoot Spark job failures and data ingestion issues.
• Collaborate with data engineering teams on notebook deployments and CI/CD.
• Automate operational workflows using Python or PowerShell.
• Integrate Databricks with other Azure services (ADLS, Synapse, Key Vault).

Required Skills:

• Deep understanding of Azure Databricks architecture and Spark internals.
• Proficient in Python, SQL, and Spark optimization techniques.
• Knowledge of Azure networking, IAM, and data governance.
• Experience with Terraform or ARM templates for automation.