Data Bricks Engineer

Minimum 6-8 years of relevant experience in below -

• Develop and maintain CI/CD pipelines for Azure Databricks deployments (Azure DevOps/YAML and related tools).
• Automate deployment and configuration of Databricks clusters, jobs, libraries, notebooks, and environment promotions.
• Implement and manage the Databricks environment for performance, cost efficiency, and scalability; optimize cluster sizing and autoscaling.
• Collaborate with Data Engineers/Scientists/Software Engineers to design, deploy, and scale data pipelines and models on Databricks.
• Monitor and troubleshoot clusters, pipelines, jobs, and associated workflows; integrate Azure Monitor/Log Analytics for visibility and metrics.
• Implement Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep to manage Azure resources and Databricks artifacts.
• Design and maintain backup, recovery, and DR strategies for Databricks environments.
• Support security best practices: RBAC/ABAC, managed identities, Key Vault secrets, compliance controls, and Unity Catalog governance.
• Produce clear documentation, templates, and runbooks; enable smooth KT to BAU teams.
• Proven experience as a DevOps/Platform Engineer in cloud environments, with a strong focus on Azure.
• Deep expertise in Azure Databricks, Azure Data Lake Storage, Azure Resource Manager (ARM), Microsoft Entra, Azure SQL Database.
• Hands on experience automating Databricks: clusters, libraries, jobs, notebooks, and environment promotions via pipelines.
• Proficiency in Unity Catalog and Databricks data governance.
• Familiarity with Apache Spark (PySpark, Spark SQL).
• Strong IaC skills: Terraform, ARM, or Bicep.
• Scripting (Python/PowerShell), and Git (branching strategies, conflict resolution).
• Observability with Azure Monitor, Log Analytics; pipeline orchestration with Azure Data Factory.
• Security best practices for cloud (RBAC, managed identities, Key Vault).
• Excellent problem solving and collaboration across cross functional teams.

Roles & Responsibilities:

• Workspace & environment engineering: Standardize Dev/UAT/Prod workspaces (network/Private Link, VNets, secure egress), service principals, secret scopes, and Key Vault integrations.
• Unity Catalog & governance: Configure catalogs/schemas, RBAC, lineage, and data access patterns aligned to our guardrails.
• CI/CD for Databricks: Implement YAML based Azure DevOps pipelines to automate notebook/job deployments, dependencies, environment promotions, and approvals/compliance checks.
• IaC for Databricks & Azure: Author reusable Bicep/Terraform modules for workspaces, clusters/pools, UC objects, and supporting Azure resources.
• Observability & reliability: Establish monitoring/alerting for jobs, clusters, SLAs, autoscaling, and cost controls; and automation for disaster recovery scenarios.
• Documentation & handover: Patterns, pipeline templates, IaC modules, and operational runbooks for BAU, plus KT during the first two releases