Fabric Solution Architect
A 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.
- Compensation
- Not disclosed
- Location
- Saint Louis, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Strong experience with Microsoft Fabric / Synapse / Azure Data Platform
- Expertise in Data Lakehouse architecture
- Expertise in Spark / PySpark
- Expertise in SQL & Data Warehousing (MPP systems)
- Experience with Data Pipelines / ETL/ELT frameworks
- Experience with Power BI (advanced modeling, DAX)
- Hands-on experience in Azure ecosystem
- Knowledge of Data ingestion tools (ADF, Fabric pipelines)
- Knowledge of Streaming technologies (Kafka/Event Hub)
- Knowledge of Delta Lake & parquet formats
- Enterprise data architecture design
- Scalable and cost-optimized solution design
- Strong stakeholder communication
- Solution-oriented thinking
- Leadership and mentoring capability
Nice to have
- Data governance frameworks (Purview preferred)
- Microsoft Certifications (highly desirable): DP-600, DP-203, PL-300
- Experience with AI/ML integration within Fabric
- Familiarity with DevOps (CI/CD for data platforms)
Full description
Job Title: Fabric Solution Architect
Role Summary
A 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