AI and Data - Data Architect - Healthcare

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.        The Opportunity   We are seeking a Data Architect for o ur AI & Data practice team. We are looking for a candidate with strong technical leadership background, hands experience with Data Bricks, Pursuits, proposal and delivery.

Lead enterprise-level architecture for Health data platforms across ingestion, streaming, transformation, storage, APIs, and analytics consumption Understanding of Personal Health Information legislation (e.g., PHIPA) Instead of HIS specific – experience with health data across various health subsectors (acute, primary care, homecare/LTC, population health, etc.) Act as a senior technical authority, mentoring engineers and shaping architectural direction across stakeholders and teams Lead cross-functional projects involving healthcare IT professionals, data scientists, and clinical stakeholders Integrate agentic AI systems into data platforms to enable autonomous monitoring, orchestration, optimization, and remediation of data workflows Leverage AI agents to support metadata enrichment, lineage intelligence, data quality automation, and real-time anomaly detection Adopt AI-assisted engineering practices to accelerate design, prototyping, and architectural validation Define patterns for safe, compliant, and governed usage of agentic AI across the data ecosystem Architect and oversee complex data workflows and high-volume streaming pipelines, leveraging platforms such as Kafka, Pub/Sub, Apache Flink, Dataflow, PySpark Define architectural patterns for event-driven, stateful, and hybrid batch/stream systems Establish standards for data modeling, schema governance, versioning, and interoperability including FHIR R4+ Embed data governance, privacy, compliance, and reliability into platform design Design data-centric microservices and APIs with strong data contracts and lifecycle management

What you bring

Degree in computer science, computer engineering or related discipline 10+ years designing and delivering large-scale data platforms Deep expertise in data architecture, including streaming pipelines, complex transformations, and distributed data processing Proven ability to design end-to-end systems integrating data pipelines, storage, APIs, and services Strong understanding of event-driven architectures and data-centric microservices Experience with Hospital Information Systems (HIS) data and data ecosystems Experience with clinical data models and data exchange standards (e.g., HL7 FHIR v2, CDA, IHE, etc.) Hands-on experience with cloud-native data platforms, including services such as Pub/Sub, Dataflow, BigQuery, Kafka, Flink, PySpark—preferably on Azure Familiarity with modern development practices and experience with AI-assisted coding and productivity tools Strong understanding of data governance, security, and privacy in regulated environments Experience or interest in leveraging agentic AI to automate engineering workflows, enhance observability, and improve platform reliability Understanding of safe and compliant use of autonomous AI agents in regulated healthcare environments

What we look for   We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.    What we offer   At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to