Senior Data Architect

Must Haves:

8years experience

• Data Modeling & Architecture:
  • 8years experienceProficiency in designingconceptual logical and physical data models.
  • 8yearsExperience withhealthcare-specific data models(e.g. HL7 FHIR).
  • 8yearsFamiliarity withdata normalization dimensional modeling andmetadata management.
• Interoperability & Standards:
  • 8years experienceDeep understanding ofHL7 FHIR including resource profiling and implementation guides.
  • 8years experienceKnowledge ofCanadian health data standards: SNOMED CT LOINC
  • 8yearsExperience withFHIR tooling(e.g. Forge IG Publisher ).

Description

We are seeking a strategic and technically skilledData Architectto develop and support a public health data ontology including data models business glossary data governance and interoperability standards. This work will form the foundation of a cloud-based public health data domain. It will include a data model necessary for public health surveillance and analysis across multiple public health domains and lay the groundwork for an immunization registry data product.

Key Responsibilities:

• Design and maintainenterprise-level data architecturesfor public health systems.
• Work with a vendor to developlogical and physical data modelsfor health datasets including patient encounter immunization and surveillance data.
• Align data models with recognizedstandardssuch as SNOMED CT and LOINC.
• Promoteinteroperabilityby implementing and profiling HL7 FHIR resources.
• Collaborate with stakeholders including ministries vendors and public health experts to ensure data architecture meets business and clinical needs.
• Define and enforcedata governance privacy and security standards.
• Supportdata integrationacross public health systems EHR EMR etc.
• Provide technical expertise incloud-based data platforms including Azure and Databricksand modern data exchange frameworks. Knowledge of data lakehouse and medallion architecture is necessary.

Qualifications:

• Bachelors or Masters degree in Computer Science Health Informatics or related field.
• 3 yearsof experience in data architecture preferably in healthcare or public health.
• 3 yearsworking with HL7 FHIR standards including resource modeling and profiling.
• Strong understanding of public health reporting requirements andCanadian health data standards.
• Experience withenterprise architecture frameworks(e.g. TOGAF Zachman).
• Familiarity withcloud platforms(Azure AWS) and data modeling tools (e.g. Forge IG Publisher).
• Understanding of the Personal Health Information Protection Act and health data privacy.
• Excellent communication and stakeholder engagement skills.

Required Technical Skills:

• Data Modeling & Architecture:
  • Proficiency in designingconceptual logical and physical data models.
  • Experience withhealthcare-specific data models(e.g. HL7 FHIR).
  • Familiarity withdata normalization dimensional modeling andmetadata management.
• Interoperability & Standards:
  • Deep understanding ofHL7 FHIR including resource profiling and implementation guides.
  • Knowledge ofCanadian health data standards: SNOMED CT LOINC
  • Experience withFHIR tooling(e.g. Forge IG Publisher ).
• Data Integration & ETL:
  • Hands-on experience withETL tools(e.g. Informatica).
  • Ability to design and optimizedata pipelinesfor structured and unstructured health data.
  • Familiarity withAPI-based data exchangeandFHIR servers(e.g. HAPI FHIR).
• Cloud & Infrastructure:
  • Understanding ofcontainerization(Docker Kubernetes) andCI/CD pipelines.
• Security & Governance:
  • Strong grasp ofdata privacy regulations(e.g. PHIPA FIPPA).
  • Familiarity withidentity and access management(OAuth2 OpenID Connect SAML).
  • Experience implementingdata governance frameworksandrole-based access controls.
• Tools & Languages:
  • Proficiency inSQLPython andRfor data manipulation and analysis.
  • Experience withdata visualization tools(e.g. Power BI Tableau).
  • Use ofenterprise architecture tools(e.g. Sparx EA ArchiMate).

Required Soft Skills:

• Strategic Thinking:Ability to align data architecture decisions with public health goals policy frameworks and long-term system sustainability.
• Collaboration & Stakeholder Engagement:Skilled in working with diverse stakeholders including public health experts vendors and technical teams to co-design solutions.
• Communication:Strong verbal and written communication skills to explain complex technical concepts to non-technical audiences and produce clear documentation.
• Problem Solving:Proactive in identifying data-related challenges and proposing innovative scalable solutions.
• Adaptability:Comfortable working in a fast-evolving digital public health landscape with changing standards technologies and priorities.
• Leadership:Capable of mentoring junior staff leading cross-functional teams and influencing architectural decisions across departments.
• Attention to Detail:Precision in data modeling documentation and compliance with standards and privacy regulations.
• Project Management:Ability to manage multiple priorities meet deadlines and contribute to strategic planning and execution.