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Azure Microsoft Fabric Solution Engineer (Implementation)

TOCUMULUS

2 - 5 years

Chennai

Posted: 19/04/2026

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Job Description

Job Title: Azure Microsoft Fabric Solution Engineer (Implementation)

Location: Abu Dhabi

Experience Level: minimum 7 years


Role Overview


We are seeking a hands-on Azure Microsoft Fabric Solution Engineer specializing in implementation and delivery of enterprise data platforms on Microsoft Azure. The role focuses on building scalable, governed, and metadata-driven data solutions using Microsoft Fabric, with deep expertise in OneLake, Apache Spark, and medallion architecture.

The ideal candidate will design and implement DIAB-compliant, metadata-driven pipelines ensuring strong data governance, lineage, auditability, and reusability.


Key Responsibilities


  • Implement end-to-end data solutions on Azure using Microsoft Fabric
  • Design and build lakehouse architectures using medallion (BronzeSilverGold) pattern
  • Develop scalable storage and data management solutions in OneLake
  • Build high-performance data pipelines using Apache Spark (PySpark / Spark SQL)
  • Implement metadata-driven ingestion and transformation frameworks
  • Ensure DIAB-compliant pipelines with strong data integrity, lineage, and auditability
  • Integrate data from diverse Azure and external data sources
  • Leverage Fabric Data Factory capabilities for orchestration
  • Implement monitoring, logging, and alerting for pipelines
  • Optimize performance, scalability, and cost across workloads
  • Collaborate with architects, DevOps, and business teams for delivery


  • Required Skills & Qualifications


  • Strong hands-on experience with Microsoft Fabric on Azure
  • Deep expertise in OneLake architecture and governance
  • Advanced proficiency in Apache Spark (PySpark preferred)
  • Strong understanding of medallion architecture (Bronze, Silver, Gold layers)
  • Proven experience in building metadata-driven data pipelines
  • Solid SQL and data modeling expertise
  • Experience with ETL/ELT design and optimization
  • Knowledge of Azure ecosystem and integration patterns
  • Strong understanding of data governance, lineage, and compliance


Preferred Qualifications


  • Experience with Power BI and semantic models
  • Familiarity with Azure-native services (e.g., Data Factory concepts within Fabric)
  • Experience implementing CI/CD pipelines (Azure DevOps)
  • Knowledge of real-time/streaming data processing
  • Exposure to Delta Lake and versioned data architectures

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