Azure Microsoft Fabric Solution Engineer (Implementation)

Theomnihire; Abu Dhabi; On-site; AED 300,000 - 600,000; Full time

Job summary

Theomnihire is seeking an Azure Microsoft Fabric Solution Engineer (Implementation) to deliver enterprise data platforms on Microsoft Azure. You will architect scalable, metadata-driven pipelines with strong governance and lineage, leveraging OneLake and the medallion pattern.

Responsibilities include end-to-end implementation, data ingestion frameworks, and cost-optimized lakehouse designs. Collaboration with architects and DevOps will be essential to deliver resilient solutions.

Qualifications

• 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).
• 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.

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.
• 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.

Skills

Microsoft Fabric on Azure

OneLake architecture

Apache Spark

medallion architecture

SQL & data modeling

ETL/ELT design

data governance & lineage

Azure ecosystem & integration

Tools

Azure Data Factory

Power BI

Delta Lake

Job description

Abudhabi, United Arab Emirates | Posted on 04/16/2026

Job Title: Azure Microsoft Fabric Solution Engineer (Implementation)

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 (Bronze–Silver–Gold) pattern
  
• Develop scalable storage and data management solutions in OneLake
  
• 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)
  
• 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)
  
• Knowledge of real-time/streaming data processing
  
• Exposure to Delta Lake and versioned data architectures