Lead Data Architect – Microsoft Fabric
Lead Data Architect – Microsoft Fabric
Experience: 15+ Years (Enterprise Data Architecture Experience)
Employment Type: Full-Time (W2 Only)
Location: USA (Hybrid / Onsite)
Work Authorization: GC, USC, H4 EAD
Job Summary
We are seeking a highly accomplished Lead Data Architect with deep expertise in Microsoft Fabric to define and drive enterprise data architecture strategy. This role requires strong ownership of end-to-end data platform design, lakehouse architecture, data governance, and large-scale cloud data transformation initiatives.
The ideal candidate will have deep hands-on experience in Fabric Lakehouse, OneLake, Azure data services, and distributed data systems, along with the ability to lead architectural decisions, mentor teams, and deliver scalable, high-performance data platforms across enterprise environments.
Key Responsibilities
• Define and lead enterprise data architecture strategy using Microsoft Fabric and Azure ecosystem.
• Architect and implement Lakehouse solutions (Fabric Lakehouse, OneLake, Delta tables).
• Design and optimize data warehouse solutions within Microsoft Fabric.
• Lead end-to-end design of ETL/ELT pipelines and data integration frameworks.
• Establish architectural standards for data modeling (conceptual, logical, physical).
• Architect solutions supporting analytics, BI, real-time data processing, and AI/ML workloads.
• Drive modernization initiatives from legacy systems to Fabric-based cloud-native architectures.
• Define and implement data governance, lineage, metadata management, and security frameworks.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Collaborate with BI, Data Engineering, Analytics, and business stakeholders.
• Conduct architecture reviews, enforce best practices, and mentor senior engineers.
• Define enterprise-level standards for data quality, observability, and operational governance.
Required Technical Skills
Microsoft Fabric & Data Platforms
• Microsoft Fabric (Lakehouse, Data Warehouse, OneLake)
• Delta Lake architecture
• Power BI integration with Fabric
• Modern data platform architecture
Azure Data Ecosystem
• Azure Data Factory (ADF) / Fabric Data Pipelines
• Azure Data Lake Storage (ADLS Gen2)
• Azure Synapse Analytics
• Azure Databricks (preferred)
Data Engineering & Processing
• Advanced SQL (query optimization, performance tuning)
• Python / PySpark
• ETL/ELT architecture and pipeline design
• Batch and real-time data processing
Streaming & Integration
• Event Hubs / Kafka
• API-based data integration
Governance & Optimization
• Data governance frameworks
• Metadata management & lineage
• Performance tuning & cost optimization
• Security and compliance best practices
DevOps & Automation
• CI/CD pipelines (Azure DevOps)
• Git
• Infrastructure as Code (ARM / Terraform)
Preferred Qualifications
• Azure Certifications (Azure Data Engineer / Azure Architect)
• Experience with Databricks / Snowflake
• Exposure to AI/ML data platforms
• Experience in BFSI, Healthcare, Retail, or enterprise domains
• Strong leadership, stakeholder communication, and mentoring skills
Eligibility & Compliance
• W2 Full-Time Only
• No C2C
• No consultancy or vendor profiles
How to Apply
Share your updated resume to:
[email protected]
Apply tot his job
Apply To this Job
Experience: 15+ Years (Enterprise Data Architecture Experience)
Employment Type: Full-Time (W2 Only)
Location: USA (Hybrid / Onsite)
Work Authorization: GC, USC, H4 EAD
Job Summary
We are seeking a highly accomplished Lead Data Architect with deep expertise in Microsoft Fabric to define and drive enterprise data architecture strategy. This role requires strong ownership of end-to-end data platform design, lakehouse architecture, data governance, and large-scale cloud data transformation initiatives.
The ideal candidate will have deep hands-on experience in Fabric Lakehouse, OneLake, Azure data services, and distributed data systems, along with the ability to lead architectural decisions, mentor teams, and deliver scalable, high-performance data platforms across enterprise environments.
Key Responsibilities
• Define and lead enterprise data architecture strategy using Microsoft Fabric and Azure ecosystem.
• Architect and implement Lakehouse solutions (Fabric Lakehouse, OneLake, Delta tables).
• Design and optimize data warehouse solutions within Microsoft Fabric.
• Lead end-to-end design of ETL/ELT pipelines and data integration frameworks.
• Establish architectural standards for data modeling (conceptual, logical, physical).
• Architect solutions supporting analytics, BI, real-time data processing, and AI/ML workloads.
• Drive modernization initiatives from legacy systems to Fabric-based cloud-native architectures.
• Define and implement data governance, lineage, metadata management, and security frameworks.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Collaborate with BI, Data Engineering, Analytics, and business stakeholders.
• Conduct architecture reviews, enforce best practices, and mentor senior engineers.
• Define enterprise-level standards for data quality, observability, and operational governance.
Required Technical Skills
Microsoft Fabric & Data Platforms
• Microsoft Fabric (Lakehouse, Data Warehouse, OneLake)
• Delta Lake architecture
• Power BI integration with Fabric
• Modern data platform architecture
Azure Data Ecosystem
• Azure Data Factory (ADF) / Fabric Data Pipelines
• Azure Data Lake Storage (ADLS Gen2)
• Azure Synapse Analytics
• Azure Databricks (preferred)
Data Engineering & Processing
• Advanced SQL (query optimization, performance tuning)
• Python / PySpark
• ETL/ELT architecture and pipeline design
• Batch and real-time data processing
Streaming & Integration
• Event Hubs / Kafka
• API-based data integration
Governance & Optimization
• Data governance frameworks
• Metadata management & lineage
• Performance tuning & cost optimization
• Security and compliance best practices
DevOps & Automation
• CI/CD pipelines (Azure DevOps)
• Git
• Infrastructure as Code (ARM / Terraform)
Preferred Qualifications
• Azure Certifications (Azure Data Engineer / Azure Architect)
• Experience with Databricks / Snowflake
• Exposure to AI/ML data platforms
• Experience in BFSI, Healthcare, Retail, or enterprise domains
• Strong leadership, stakeholder communication, and mentoring skills
Eligibility & Compliance
• W2 Full-Time Only
• No C2C
• No consultancy or vendor profiles
How to Apply
Share your updated resume to:
[email protected]
Apply tot his job
Apply To this Job