Fabric Solution Architect

Location: Saint Louis, United States (Posted on 07/01/2026) 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 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 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 Query performance Cost efficiency (capacity planning) Data storage strategies Monitor and troubleshoot Fabric environments 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 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 Knowledge of: Data ingestion tools (ADF, Fabric pipelines) Streaming technologies (Kafka/Event Hub) Delta Lake & parquet formats Architecture Skills Data governance frameworks (Purview preferred) Scalable and cost‑optimized solution design 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) #J-18808-Ljbffr iLink Digital