AI and Data - Data Architect - Healthcare

AI and Data - Data Architect - Healthcare

Location: Toronto

Other locations: Primary Location Only

Salary: Competitive

Date: Mar 13, 2026

Job description

Requisition ID: 1693356

At EY, youll 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 were 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 our AI & Data practice team. We are looking for a candidate with strong technical leadership background, hands experience with Data Bricks, Pursuits, proposal and delivery.

What you will do

Lead enterprise-level architecture for Health data platforms across ingestion, streaming, transformation, storage, APIs, and analytics consumption

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

Were interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.