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Job Description
Job Description: Senior Azure Data Platform & Fabric EngineerExperience: 4–10 YearsLocation: [Insert Location / Remote]Type: Full-TimeAbout the RoleWe are seeking a senior-level Azure Data Platform & Fabric Engineer to architect, secure, and automate our next-generation enterprise data platform. In this niche role, you will bridge the gap between core Azure Infrastructure as Code (IaC), DevOps automation, and the unified analytics experience of Microsoft Fabric / Power BI Premium.The ideal candidate does not just write DAX or build reports; you understand how OneLake operates under the hood, how to manage Fabric capacity, how to provision private endpoints in Azure infrastructure, and how to automate the lifecycle of Fabric artifacts through enterprise CI/CD pipelines.Key ResponsibilitiesInfrastructure & Platform Engineering: Design and provision scalable Azure infrastructure (Resource Groups, VNets, Private Endpoints, Azure Key Vault, Azure Data Lake Gen2) using IaC tools like Terraform or Bicep.Microsoft Fabric & Power BI Ecosystem: Manage and optimize Microsoft Fabric capacities, workspaces, and tenant settings. Architect enterprise semantic models utilizing DirectLake, DirectQuery, and Import modes. Data Lakehouse Architecture: Implement medallion architecture (Bronze/Silver/Gold) using Fabric Lakehouses, Warehouses, and Spark/PySpark notebooks. CI/CD Automation: Establish enterprise-grade DevOps for data. Automate the deployment of both Azure infrastructure and Fabric artifacts (Reports, Semantic Models, Notebooks, Pipelines) using Azure DevOps or GitHub Actions, utilizing Fabric Git integration and fabric-cicd tools. Security & Governance: Implement Row-Level Security (RLS/Object-Level Security), Azure RBAC, Entra ID integration, and Fabric data mesh domains to ensure robust data governance.
Required Skills
[' senior-level Azure Data Platform & Fabric Engineer']
Additional Information
Fabric data mesh domains to ensure robust data governance.
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