Join EY's GDS Consulting team as a Senior AI Data Platform Engineer, specializing in Snowflake. This role offers the opportunity to build and manage enterprise-grade Data and AI solutions leveraging modern data platforms like Snowflake, Databricks, and Microsoft Fabric. You'll contribute to innovative integration solutions, scalable data engineering, and AI-ready data products within cloud ecosystems.

EY's Consulting Services focuses on delivering integrated solutions for the financial services industry, addressing complex challenges and capitalizing on opportunities to enhance business outcomes. Our Data and Analytics team is at the forefront of embedding analytical practices into client decision-making processes, creating compelling business cases for data-driven strategies.

Design and optimize scalable data pipelines and integration solutions for modern data platforms, supporting Aladdin services. You will conduct data discovery, mapping, and reconciliation to integrate client data effectively. Collaboration with client teams and stakeholders is key to gathering requirements and delivering technical solutions.

Develop robust ingestion frameworks for batch, streaming, and event-based data. Build curated, AI-ready data products with strong quality controls and lineage. Implement data packaging, compliance workflows, and robust data quality/validation frameworks to ensure accuracy and traceability.

Create reusable platform assets and manage workflow orchestration for reliable data processing. Optimize distributed workloads for performance and cost efficiency. Implement Git-based engineering, CI/CD pipelines, and IaC practices. Leverage AI and GenAI capabilities for enhanced metadata discovery, documentation, and operational intelligence.

Implement comprehensive governance, security, and privacy controls. Build metadata-driven monitoring and observability capabilities for pipeline health and data quality. Support cloud deployments across Azure, AWS, and related ecosystems, contributing to platform standards and continuous improvement.

We are seeking a Senior AI Data Platform Engineer with 5-10 years of experience in data engineering, platform operations, or AI platform enablement. Proven hands-on expertise with cloud data platforms, APIs, Git, CI/CD, SRE practices, and production operations is essential.

This role requires experience in designing and supporting large-scale data integration, onboarding, reconciliation, and data quality solutions. Prior exposure to investment data platforms and BlackRock Aladdin integrations is highly advantageous. Relevant certifications in cloud, data engineering, DevOps, security, governance, or AI/ML engineering are preferred.

Ideally, you are a strong engineer with architectural awareness and a platform mindset, capable of translating standards into reusable frameworks and secure, production-ready services. A good understanding of investment data domains and onboarding lifecycles is beneficial. You should be adept at mentoring engineers and collaborating with cross-functional teams, embracing AI-native and agentic engineering methods.