Job DescriptionJob Title: Fabric Solution ArchitectRole SummaryA Fabric Solution Architect designs, implements, and governs end-to-end data and analytics solutions using
Microsoft Fabric. This role bridges business requirements with technical architecture, ensuring scalable, secure, and high-performing data platforms leveraging Fabric components such as
Lakehouse, Data Warehouse, Data Engineering, Data Science, Real-Time Intelligence, and Power BI.
Key Responsibilities? Solution Architecture & Design- Define end-to-end data architecture using Microsoft Fabric
- Design Lakehouse architectures (Delta Lake, Medallion layers: Bronze, Silver, Gold)
- Architect data integration, ingestion, transformation, and serving layers
- Define architecture patterns for batch, streaming, and real-time data processing
? Platform Implementation- Lead implementation of:
- Fabric Workspaces & governance model
- Data Pipelines & Dataflows Gen2
- Notebooks (Spark-based engineering workloads)
- Data Warehouse & Lakehouse solutions
- Configure and optimize OneLake data management
? Data Modeling & Analytics- Design enterprise-grade semantic models (Power BI datasets)
- Establish best practices for data modeling (star schema, dimensional modeling)
- Enable self-service BI and governed analytics
? Integration & Ecosystem- Integrate Fabric with:
- Azure services (ADLS, Synapse, Azure SQL, Event Hub, etc.)
- External data sources (ERP, CRM, APIs)
- Design hybrid/multi-cloud data integration where required
? Security & Governance- Implement data governance, lineage, and cataloging
- Define role-based access control (RBAC) and data security strategies
- Ensure compliance with enterprise data policies
? Performance Optimization- Optimize workloads for:
- Query performance
- Cost efficiency (capacity planning)
- Data storage strategies
- Monitor and troubleshoot Fabric environments
? Leadership & Collaboration- Work closely with:
- Business stakeholders
- Data engineers, analysts, and scientists
- IT and cloud teams
- Provide technical leadership and mentorship
- Drive design reviews and architecture governance
Required Skills & Experience• Core Technical Skills- Strong experience with Microsoft Fabric / Synapse / Azure Data Platform
- Expertise in:
- Data Lakehouse architecture
- Spark / PySpark
- SQL & Data Warehousing (MPP systems)
- Experience with:
- Data Pipelines / ETL/ELT frameworks
- Power BI (advanced modeling, DAX)
• Cloud & Data Expertise- Hands-on experience in Azure ecosystem
- Knowledge of:
- Data ingestion tools (ADF, Fabric pipelines)
- Streaming technologies (Kafka/Event Hub)
- Delta Lake & parquet formats
• Architecture Skills- Enterprise data architecture design
- Data governance frameworks (Purview preferred)
- Scalable and cost-optimized solution design
• Soft Skills- Strong stakeholder communication
- Solution-oriented thinking
- Leadership and mentoring capability
Preferred Qualifications- Microsoft Certifications (highly desirable):
- DP-600: Fabric Analytics Engineer
- DP-203: Data Engineering on Azure
- PL-300: Power BI Data Analyst
- Experience with AI/ML integration within Fabric
- Familiarity with DevOps (CI/CD for data platforms)
