AI and Data - Data Architect - Healthcare

Location: Toronto Other locations: Primary Location Only Date: Jul 7, 2026 Requisition ID: 1693356 What you will do 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) 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 solid 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 secure and compliant use of autonomous AI agents in regulated healthcare environments What we offer We offer a competitive compensation package and a comprehensive benefits program that includes medical, prescription drug and dental coverage, a defined contribution pension plan, vacation policy, statutory holidays, paid personal days, and various wellness and development programs. Support and coaching from some of the most engaging colleagues in the industry Learning opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you Toronto - $110,000 to $160,000 Inclusiveness at EY Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging.

We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation.

📌 AI and Data - Data Architect - Healthcare (Toronto)
🏢 Ernst u0026 Young Advisory Services Sdn Bhd
📍 Toronto