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., ? 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

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, * 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)