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Job Description & How to Apply Below
Abudhabi, United Arab Emirates | Posted on 04/16/2026
Job Title: Azure Microsoft Fabric Solution Engineer (Implementation)
Experience Level: minimum 7 years
Role OverviewWe 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 One Lake , 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 One Lake
- 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, Dev Ops, and business teams for delivery
Required Skills & Qualifications
- Strong hands-on experience with Microsoft Fabric on Azure
- Deep expertise in One Lake 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
- 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
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