Azure Microsoft Fabric Solution Engineer (Implementation)

Job Title: Azure Microsoft Fabric Solution Engineer (Implementation)

Location: Abu Dhabi
Experience Level: “Required: Minimum 5 years of complete Microsoft Fabric experience, with overall professional experience of 10–15 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.

Requirements

Key Responsibilities

• Implement end-to-end data solutions on Azure using Microsoft Fabric
  
• Design and build lakehouse architectures using medallion (Bronze–Silver–Gold) 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

Requirements

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