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)