The Fabric Data Architect is responsible for designing, governing, and implementing enterprise-scale data platforms using Microsoft Fabric. The role focuses on data architecture, Lakehouse design, data integration, governance, security, analytics enablement, and modernization of legacy data platforms. The architect collaborates with business stakeholders, solution architects, data engineers, and analytics teams to deliver scalable, secure, and high-performance data solutions.
Key Responsibilities
Design enterprise data architecture using Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Semantic Models, and Power BI.
Define conceptual, logical, and physical data models.
Establish Lakehouse and Medallion Architecture patterns (Bronze, Silver, Gold).
Design enterprise-wide data integration frameworks and reusable architecture patterns.
Architect batch, streaming, and event-driven ingestion solutions.
Design data pipelines using Fabric Data Factory, Notebooks, Dataflows Gen2, and APIs.
Integrate data from ERP, CRM, SaaS, databases, files, and external platforms.
Implement scalable ELT/ETL solutions.
Data Modeling & Analytics
Define dimensional models, semantic models, and data product structures.
Design Direct Lake and Warehouse optimization strategies.
Enable self-service BI and advanced analytics through Power BI.
Governance & Security
Implement data governance using Microsoft Purview and Fabric governance capabilities.
Define security architecture including RBAC, row-level security, masking, encryption, and access controls.
Ensure compliance with privacy, regulatory, and organizational security standards.
Establish data quality, metadata, lineage, and catalog strategies.
Migration & Modernization
Lead migrations from legacy Data Warehouses, Synapse, Hadoop, SQL Server, Teradata, Snowflake, or Databricks to Microsoft Fabric.
Define migration roadmaps and modernization strategies.
Conduct platform assessments and architecture reviews.
Performance & Optimization
Optimize Fabric workloads for scalability and performance.
Monitor and improve query performance, storage utilization, and cost efficiency.
Develop FinOps and capacity management strategies for Fabric F-SKUs.
Leadership & Stakeholder Management
Conduct architecture workshops and client discussions.
Provide technical leadership to data engineers, analysts, and BI teams.
Review solution designs and ensure alignment with enterprise architecture standards.
Support pre-sales, solutioning, estimations, and RFP/RFT responses.
Required Technical Skills
Microsoft Fabric
Data Warehouse
Fabric Data Factory
Semantic Models
Fabric Administration & Governance
Azure Functions
Governance & Security
Data Security & Compliance
DevOps
Infrastructure as Code
Preferred Certifications
DP-600: Implementing Analytics Solutions Using Microsoft Fabric
DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric
DP-203: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Azure Fundamentals (AZ-900)
Enterprise Data Architecture
Technical Leadership
Architecture Review & Governance
Nice-to-Have
Generative AI and Copilot Integration
Data Mesh and Data Products Architecture
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