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Data Science & Analytics 1h ago

Senior Platform Architect – Microsoft Fabric

IndiaIndia
Full-time
Rs 110,000 - Rs 500,000 (INR 111,000 - 500,000)
Senior-Level

Job Description

Key Skills Required

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Microsoft FabricEnterprise Data EngineeringCloud EngineeringAzure ArchitectureAzure Data EngineeringData Platform Architecture

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We are seeking a highly experienced Senior Platform Architect – Microsoft Fabric to lead the design, implementation, and evolution of a modern enterprise data platform built on Microsoft Fabric.

This role is ideal for professionals who enjoy solving complex data engineering challenges, building scalable cloud-native architectures, and driving platform excellence through automation, governance, and DevOps best practices.

As a Senior Platform Architect, you will own the end-to-end architecture of a unified data ecosystem, leveraging Microsoft Fabric capabilities such as OneLake, Data Factory, Data Engineering, Data Warehousing, Real-Time Analytics, and Power BI.

Working closely with engineering, analytics, and business stakeholders, you will establish scalable development standards, implement robust CI/CD pipelines, optimize platform performance, and ensure secure, governed, and cost-efficient data operations.

This is a hands-on technical leadership role that combines strategic architecture with active implementation and mentoring.

Requirements

Key Responsibilities

  • 9+ years of experience in Data Platform Architecture, Cloud Engineering, DevOps, or Enterprise Data Engineering.
  • Strong hands-on expertise with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Data Warehouse, Power BI, and Real-Time Analytics.
  • Proven experience designing scalable enterprise data platforms on Microsoft Azure with modern cloud architecture principles.
  • Strong knowledge of DevOps, Git-based workflows, CI/CD pipelines, Infrastructure-as-Code, and deployment automation using Azure DevOps or GitHub Actions.
  • Deep understanding of data lake architectures, Delta Lake, medallion architecture, data governance, security, and access management.
  • Experience optimizing Microsoft Fabric capacity, performance, cost management, and workload monitoring.
  • Proficiency in technologies such as PySpark, Spark SQL, Python, T-SQL, or KQL for data engineering and platform development.
  • Experience integrating Microsoft Fabric with Azure services, APIs, automation platforms, and enterprise applications.
  • Strong communication, stakeholder management, and technical leadership skills with the ability to translate complex architecture into practical business solutions.
  • Microsoft Fabric, Azure Data Engineering, or Azure Architecture certifications, along with experience in regulated enterprise environments, will be considered a strong advantage.

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