Microsoft Fabric Expert

Job Description

Job Description: We are seeking an experienced Microsoft Fabric expert to join our team for a long-term engagement. The ideal candidate will have a strong background in modern data platform architecture, particularly with Microsoft Fabric components. The role will involve designing and implementing scalable data solutions to support advanced analytics, real-time insights, and business intelligence. The candidate should have extensive experience in Microsoft Fabric, including data pipeline orchestration and real-time analytics. Proficiency in event-driven architectures, metadata-driven ingestion frameworks, and Azure Data Services. Key Responsibilities: Azure Data Factory: Design and manage robust data integration solutions, including ETL/ELT pipelines and data movement strategies by leveraging the unified capabilities of Azure Data Factory and Power Query. Migrate existing SQL data structures, DBs to Microsoft Fabric Power BI Design and implement interactive reports and dashboards. Leverage DirectLake mode to enable high-performance queries against Delta Lake tables in OneLake without data duplication. Data Activator Implement real-time data monitoring and event-driven automation by setting up triggers based on data patterns from OneLake or Power BI visualizations. Experience integrating Microsoft Purview for governance and compliance. Solid understanding of medallion architecture for AI optimization . Understanding of Azure Logic Apps , Azure Functions, Key Vault and API Management Strong knowledge of Python, notebooks, and data modeling concepts. Required Skills and Experience: Minimum 8 + years technology experience , preferably in the Microsoft space Proven experience in designing enterprise-scale data architectures using Microsoft Fabric 5 + years experience of Azure Synapse Deep understanding of Microsoft Fabric ecosystem. 5 + years experience of ETL/ELT tools, Spark, KQL, and SQL-based data warehousing. 5 + years experience with Power BI, particularly DirectLake capabilities. Good working knowledge with real-time data analytics and event-based systems. Ability to collaborate with data engineers, data scientists, and business stakeholders.