Data Architect Modeller 0503

• We are seeking a strategic and technically skilled Data Architect to 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.

• Design and maintain enterprise-level data architectures for public health systems.
• Work with a vendor to develop logical and physical data models for health datasets, including patient, encounter, immunization, and surveillance data.
• Align data models with recognized standards such as SNOMED CT, and LOINC.
• Promote interoperability by 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 enforce data governance, privacy, and security standards.
• Support data integration across public health systems, EHR, EMR, etc.
• Provide technical expertise in cloud-based data platforms, including Azure and Databricks and modern data exchange frameworks. Knowledge of data lakehouse and medallion architecture is necessary.

• Bachelor’s or Master’s degree in Computer Science, Health Informatics, or related field.
• 3+ years of experience in data architecture, preferably in healthcare or public health.
• 3+ years working with HL7® FHIR® standards, including resource modeling and profiling.
• Strong understanding of public health reporting requirements and Canadian health data standards.
• Experience with enterprise architecture frameworks (e.g., TOGAF, Zachman).
• Familiarity with cloud 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.

• Data Modeling & Architecture:
• Proficiency in designing conceptual, logical, and physical data models.
• Experience with healthcare-specific data models (e.g., HL7® FHIR).
• Familiarity with data normalization, dimensional modeling, and metadata management.
• Interoperability & Standards:
• Deep understanding of HL7® FHIR®, including resource profiling and implementation guides.
• Knowledge of Canadian health data standards: SNOMED CT, LOINC
• Experience with FHIR tooling (e.g., Forge, IG Publisher, Simplifier.net).
• Data Integration & ETL:
• Hands-on experience with ETL tools (e.g., Informatica).
• Ability to design and optimize data pipelines for structured and unstructured health data.
• Familiarity with API-based data exchange and FHIR servers (e.g., HAPI FHIR).
• Cloud & Infrastructure:
• Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Security & Governance:
• Strong grasp of data privacy regulations (e.g., PHIPA, FIPPA).
• Familiarity with identity and access management (OAuth2, OpenID Connect, SAML).
• Experience implementing data governance frameworks and role-based access controls.
• Tools & Languages:
• Proficiency in SQL, Python, and R for data manipulation and analysis.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Use of enterprise architecture tools (e.g., Sparx EA, ArchiMate).

• 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.

• Data Modeling & Architecture:
• 8+ years experience Proficiency in designing conceptual, logical, and physical data models.
• 8+ years Experience with healthcare-specific data models (e.g., HL7® FHIR).
• 8+ years Familiarity with data normalization, dimensional modeling, and metadata management.
• Interoperability & Standards:
• 8+ years experience Deep understanding of HL7® FHIR®, including resource profiling and implementation guides.
• 8+ years experience Knowledge of Canadian health data standards: SNOMED CT, LOINC
• 8+ years Experience with FHIR tooling (e.g., Forge, IG Publisher, Simplifier.net).

Foilcon