Join EY's GDS Consulting team as an AI Data Platform Engineer specializing in Microsoft Fabric. This role offers a unique opportunity to build and manage enterprise-scale Data & AI platforms, leveraging your expertise in Microsoft Fabric and the Azure data ecosystem. You'll work on cutting-edge solutions involving Lakehouse, OneLake, Data Factory, Power BI semantic models, and AI/GenAI workloads, contributing to modern analytics and intelligent solutions for leading financial institutions.

EY provides a global platform for career growth, offering continuous learning, coaching, and practical experience. Become part of an inclusive culture that values diverse perspectives and empowers you to build an exceptional career while contributing to a better working world.

Design and implement robust data solutions using Microsoft Fabric components like OneLake, Lakehouse, Data Factory, and Power BI semantic models. Develop scalable ingestion and transformation frameworks for diverse data sources and patterns, ensuring data quality and operational controls. Build reusable platform standards for workspace onboarding, CI/CD integration, and environment management. Enable advanced AI and GenAI capabilities within Fabric, supporting Copilot, RAG, and conversational analytics use cases. Implement comprehensive governance, security, and Data SRE practices, including access control, monitoring, and anomaly detection. Integrate Fabric seamlessly with various Azure services and enterprise APIs for a unified data landscape.

A minimum of 5-10 years of experience in data engineering, platform operations, or AI platform enablement is required. Demonstrated hands-on experience with cloud data platforms, API integration, Git, CI/CD pipelines, governed access, SRE practices, and production operations. Proficiency in core platform technologies including Microsoft Fabric, OneLake, Lakehouse, Data Factory, Spark, and Power BI semantic models. Familiarity with AI/GenAI concepts, Python, PySpark, SQL, and Azure DevOps is essential for success in this role.