Designs, governs, and implements enterprise-scale Microsoft Fabric data platforms, including OneLake, Lakehouse, data integration, semantic models, Power BI, governance, security, and modernization. Leads batch and streaming architecture, legacy platform migrations, performance and cost optimization, data quality, and compliance initiatives. Provides technical leadership, conducts architecture reviews and workshops, collaborates with stakeholders and delivery teams, and supports solutioning, estimates, and pre-sales activities.
Experience
10+ years in Data &
Analytics Architecture, with 3+ years in Cloud Data Platforms and Microsoft
Fabric
Role Summary
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
Data Architecture &
Platform Design
- 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.
Data Engineering &
Integration
- 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
- OneLake
- Lakehouse
- Data
Warehouse
- Fabric
Data Factory
- Real-Time
Intelligence
- Eventstreams
- Dataflows
Gen2
- Notebooks
- Semantic
Models
- Direct
Lake
- Power
BI
- Fabric
Administration & Governance
Data Engineering
- PySpark
- Spark
SQL
- Python
- SQL
- Delta
Lake
- Data
Modeling
- ETL/ELT
Design
Cloud & Integration
- Azure
Data Lake Storage (ADLS Gen2)
- Azure
Synapse Analytics
- Azure
Data Factory
- Azure
SQL
- Azure
Event Hub
- Azure
Functions
- REST
APIs
Governance & Security
- Microsoft
Purview
- Data
Catalog
- Data
Lineage
- Metadata
Management
- Data
Quality
- RBAC
- Data
Security & Compliance
DevOps
- Azure
DevOps
- Git
Integration
- CI/CD
Pipelines
- 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)
Key Competencies
- Enterprise
Data Architecture
- Modern
Data Platform Design
- Data
Governance
- Stakeholder
Management
- Solution
Consulting
- Technical
Leadership
- Cost
Optimization
- Architecture
Review & Governance
Nice-to-Have
- Databricks
- Snowflake
- Synapse
Analytics
- AI/ML
Integration
- Generative
AI and Copilot Integration
- Data
Mesh and Data Products Architecture
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