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]