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 ? 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)