Join EY's Global Delivery Services (GDS) Consulting team as a Senior AI Data Platform Engineer, specializing in Snowflake. This role is instrumental in building and managing enterprise-grade data and AI solutions across modern platforms like Snowflake, Databricks, and Microsoft Fabric. You will contribute to critical areas such as data integration for Aladdin, scalable data engineering, AI-ready data products, and ensuring data quality and governance within cloud ecosystems.

EY Consulting Services is a specialized unit focused on providing integrated solutions leveraging deep industry expertise and strong technical capabilities. Our Data and Analytics team tackles complex challenges, driving better business outcomes by embedding analytical practices at the core of client decision-making. This is an opportunity to shape the future of data platforms and AI enablement for leading financial institutions.

Key responsibilities include designing and optimizing scalable data pipelines and integration solutions for Aladdin services across modern data platforms. You will perform data discovery, mapping, and reconciliation to onboard client data effectively. Collaboration with client teams, architects, and engineering groups is crucial for requirements gathering and technical solutioning. Develop robust ingestion frameworks, build analytics and AI-ready data products with strong quality controls, and implement data quality, audit, and reconciliation frameworks.

Further responsibilities involve developing reusable platform assets, managing workflow orchestration, and optimizing processing workloads for performance and cost efficiency. Implement Git-based engineering practices, CI/CD pipelines, and Infrastructure-as-Code. Integrate enterprise platforms with APIs and cloud services, leveraging AI/GenAI for metadata discovery, documentation, and operational intelligence. Implement robust governance, security, and privacy controls. Build comprehensive audit, monitoring, and Data SRE capabilities, and support cloud deployments across various platforms.

This senior role requires 5-10 years of experience in data engineering, platform operations, or AI platform enablement. You should possess strong hands-on implementation experience with cloud data platforms, APIs, Git, CI/CD, SRE practices, and production operations. Experience designing and supporting large-scale data integration, onboarding, reconciliation, data quality, compliance, and reporting solutions is essential. Prior exposure to investment data platforms and BlackRock Aladdin integrations is highly desirable.

Ideally, you bring a strong engineering mindset with architecture awareness and delivery ownership. You are comfortable transforming platform standards into reusable frameworks and secure operational controls. A solid understanding of investment data domains and onboarding lifecycles is beneficial. The ability to mentor engineers, collaborate effectively with cross-functional teams, and adopt AI-native engineering methods will set you apart.