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)