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Azure Microsoft Fabric Solution Engineer; Implementation
Job Description & How to Apply Below
Job Title: Azure Microsoft Fabric Solution Engineer (Implementation)
Location: Abu Dhabi
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
- 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, Dev Ops, and business teams for delivery
- 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)
- 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
- 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 Dev Ops)
- Knowledge of real‑time/streaming data processing
- Exposure to Delta Lake and versioned data architectures
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