Data Solutions Architect - Microsoft Fabric

We are seeking an experienced Data Solutions Architect with strong expertise in Microsoft Fabric to design, develop, and implement enterprise-level data solutions. The ideal candidate will have extensive experience in data architecture, cloud data platforms, data engineering, data integration, and analytics, with hands-on knowledge of Microsoft Fabric and its ecosystem. The candidate will be responsible for defining enterprise data strategies, designing scalable data architectures, implementing modern data platforms, and enabling business intelligence and advanced analytics solutions., * Design and implement end-to-end enterprise data architectures using Microsoft Fabric.

• Define data platform strategies, architecture standards, and best practices.
• Architect solutions using Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, and Power BI.
• Design and implement scalable ETL/ELT pipelines for data ingestion, transformation, and integration.
• Develop and optimize data models, semantic models, and enterprise data warehouses.
• Implement Medallion Architecture (Bronze, Silver, and Gold layers).
• Integrate data from multiple sources, including cloud platforms, databases, APIs, and enterprise applications.
• Design data governance, security, access control, and data quality frameworks.
• Optimize data pipelines, query performance, storage, and overall platform costs.
• Collaborate with data engineers, BI developers, business stakeholders, and enterprise architects.
• Establish CI/CD processes, deployment strategies, and infrastructure management practices.
• Provide technical leadership, architecture guidance, and mentorship to development teams.

• Microsoft Fabric certifications, such as Fabric Analytics Engineer Associate (DP-600) or Fabric Data Engineer Associate (DP-700).
• Experience with Microsoft Purview and enterprise data governance.
• Experience implementing real-time data processing and streaming solutions.
• Knowledge of Azure DevOps, Git, CI/CD, and deployment pipelines.
• Experience with Power BI dashboards, reporting, and semantic models.
• Familiarity with enterprise architecture frameworks and data modernization initiatives.