Azure Microsoft Fabric Solution Engineer (Implementation)
Skills
About This Role
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
- 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
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
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