Description Key Responsibilities Azure & Databricks Platform Engineering Engineer, operate, and evolve enterprise‑grade Azure Databricks platforms across multiple subscriptions and environments (dev, test, prod). Design and implement Databricks workspace configurations, cluster policies, pools, and job orchestration with a strong focus on scalability, reliability, and cost efficiency. Engineer and maintain Azure platform components supporting Databricks, including networking, identity, storage, and security services. Monitor platform health, performance, and usage; proactively design improvements and resolve operational issues. Databricks‑Centric Data & Analytics Enablement Engineer and optimize Databricks integrations with Azure services, including: Azure Data Lake Storage (ADLS Gen2) Delta Lake and Unity Catalog Azure SQL, Azure Synapse, Event Hubs, and other data sources Support batch and streaming data pipelines and analytics workloads running on Databricks. Partner with Data Engineering, Analytics, and AI teams to ensure performant, reliable, and secure production workloads. Security, Governance & Compliance Engineering Design and implement security and governance controls across Databricks and Azure, including: Azure Active Directory integration, RBAC, and SCIM provisioning Unity Catalog, data access policies, and cluster governance Engineer secure integrations using Azure Key Vault, Private Endpoints, and network security constructs. Ensure platform designs comply with organizational security, governance, and audit requirements. Infrastructure as Code & Platform Automation Design, develop, and maintain Terraform‑based IaC for Databricks and supporting Azure infrastructure (workspaces, permissions, networking, storage). Build and evolve CI/CD pipelines using Azure DevOps YAML pipelines for platform and infrastructure deployments. Promote engineering best practices for IaC, including modularization, versioning, automated testing, and environment consistency. Collaboration & Platform Leadership Act as a subject matter expert for Databricks on Azure, guiding teams on platform usage, architecture, and operational best practices. Work cross‑functionally with Cloud, Architecture, CICD, Data, AI, and Application teams. Create and maintain platform documentation, reference architectures, and operational runbooks. Required Qualifications 5&43; years of hands‑on experience engineering solutions on Microsoft Azure, with a strong focus on Azure Databricks platforms. Deep expertise in: Azure Databricks (clusters, jobs, pools, Delta Lake, Unity Catalog, workspace engineering) Azure core services (Storage, Networking, Identity & Access Management) Cost optimization, monitoring, and observability for data platforms Strong experience with Terraform, including multi‑subscription and multi‑environment deployments. Proficiency with CI/CD pipelines, preferably Azure DevOps. Solid understanding of cloud security, governance, and platform engineering practices. Preferred Certifications Azure & Databricks Certifications Microsoft Certified: Azure Administrator Associate Microsoft Certified: Azure Solutions Architect Expert Databricks Certified Data Platform Engineer or Administrator HashiCorp Terraform Certifications HashiCorp Terraform Associate (003 or later) HashiCorp Terraform Engineer Soft Skills Strong communication and documentation skills. Ability to explain complex Azure and Databricks platform designs to diverse technical audiences. Engineering mindset with a strong focus on automation, reliability, and continuous improvement. Collaborative, proactive, and adaptable in a fast‑evolving cloud and data landscape.