DevOps Engineer - Microsoft Fabric

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Weekday AIData Platform
Remote (India)Full-TimeSenior
Salary1,100,000 - 5,000,000 INR per year
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Job Details

Experience
8+ years overall, 2+ years hands-on with Microsoft Fabric
Required Skills
PythonCI/CDAzure DevOpsPySpark

Requirements

  • 8+ years of experience in data platform architecture, cloud infrastructure, or DevOps engineering roles.
  • 2+ years of hands-on experience with Microsoft Fabric, or equivalent experience with Azure Synapse Analytics, Power BI, and Azure Data Factory.
  • Strong command of OneLake, Lakehouse and Warehouse architecture, Delta Lake/Parquet formats, and medallion architecture.
  • Proven DevOps expertise: Git-based version control, CI/CD pipeline design (Azure DevOps or GitHub Actions).
  • Experience with infrastructure-as-code tools such as Bicep, Terraform, or ARM templates.
  • Solid understanding of Fabric security models, workspace roles, and data access policies.
  • Experience with Fabric capacity management, performance tuning, and cost governance.
  • Hands-on skills in PySpark/Spark SQL, T-SQL, Python, or KQL.
  • Experience integrating Fabric with external tools like APIs, Power Automate, or Azure Functions.
  • Strong communication skills for translating technical decisions to business stakeholders.

Responsibilities

  • Design and own the end-to-end architecture for Microsoft Fabric, including OneLake structure and workspace strategy.
  • Define and implement DevOps practices including Git integration, CI/CD pipelines, and infrastructure-as-code.
  • Architect and enforce governance, security, and access controls using Microsoft Purview and Entra ID.
  • Design capacity planning and cost optimization strategies for Fabric capacity units.
  • Partner with cross-functional teams to standardize development patterns and reusable templates.
  • Own monitoring, alerting, and observability for the platform.
  • Lead migration efforts from legacy platforms onto Microsoft Fabric.
  • Mentor engineering teams on Fabric architecture, DevOps, and operational excellence.
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1,100,000 - 5,000,000 INR per year
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