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Ernst & Young

Global professional services: consulting, assurance, tax

Data Architect - AI and Data, Healthcare

Data EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada$110k - $160kIn-person

About the Job

Requirements

  • A degree in computer science, computer engineering, or a related discipline is required.
  • At least 10 years of experience designing and delivering large-scale data platforms is required.
  • Deep expertise in data architecture, including streaming pipelines, complex transformations, and distributed data processing, is required.
  • Proven ability to design end-to-end systems integrating data pipelines, storage, APIs, and services is required.
  • Strong understanding of event-driven architectures and data-centric microservices is required.
  • Experience with Hospital Information Systems data and data ecosystems is required.
  • Experience with clinical data models and data exchange standards such as HL7 FHIR v2, CDA, and IHE is required.
  • Hands-on experience with cloud-native data platforms and services such as Pub/Sub, Dataflow, BigQuery, Kafka, Flink, and PySpark is required; Azure experience is preferred.
  • Familiarity with modern development practices and experience with AI-assisted coding and productivity tools is required.
  • Strong understanding of data governance, security, and privacy in regulated environments is required.
  • Experience or interest in using agentic AI to automate engineering workflows, enhance observability, and improve platform reliability is required.
  • Understanding of safe and compliant use of autonomous AI agents in regulated healthcare environments is required.
  • Understanding of Personal Health Information legislation, such as PHIPA, is required.
  • Experience with health data across healthcare subsectors, including acute care, primary care, homecare or long-term care, and population health, is required.
  • Strong technical leadership experience and hands-on experience with Databricks, pursuits, proposals, and delivery are required.

Responsibilities

  • Lead enterprise-level architecture for health data platforms across ingestion, streaming, transformation, storage, APIs, and analytics consumption.
  • Act as a senior technical authority, mentor engineers, and shape 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.
  • Use 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 use of agentic AI across the data ecosystem.
  • Architect and oversee complex data workflows and high-volume streaming pipelines using platforms such as Kafka, Pub/Sub, Apache Flink, Dataflow, and 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 and later.
  • Embed data governance, privacy, compliance, and reliability into platform design.
  • Design data-centric microservices and APIs with strong data contracts and lifecycle management.

Desired Qualifications

  • Experience with cloud-native data platforms on Azure is preferred.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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