Azure Microsoft Fabric Solution Engineer (Implementation)
Posted Updated
Description
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