HM Note: This contract role is remote and candidates work remotely. Candidates must reside in Ontario Canada. Candidate resumes must include first and last name email and telephone contact information.
Description
- We are seeking a strategic and technically skilled and nbsp;Data Architect and nbsp;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.
Key Responsibilities:
- Design and maintain and nbsp;enterprise-level data architectures and nbsp;for public health systems.
- Work with a vendor to develop and nbsp;logical and physical data models and nbsp;for health datasets including patient encounter immunization and surveillance data.
- Align data models with recognized and nbsp;standards and nbsp;such as SNOMED CT and LOINC.
- Promote and nbsp;interoperability and nbsp;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 and nbsp;data governance privacy and security standards.
- Support and nbsp;data integration and nbsp;across public health systems EHR EMR etc.
- Provide technical expertise in and nbsp;cloud-based data platforms including Azure and Databricks and nbsp;and 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 years and nbsp;of experience in data architecture preferably in healthcare or public health.
- 3 years and nbsp;working with HL7 FHIR standards including resource modeling and profiling.
- Strong understanding of public health reporting requirements and and nbsp;Canadian health data standards.
- Experience with and nbsp;enterprise architecture frameworks and nbsp;(e.g. TOGAF Zachman).
- Familiarity with and nbsp;cloud platforms and nbsp;(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 and amp; Architecture:
- Proficiency in designing and nbsp;conceptual logical and physical data models.
- Experience with and nbsp;healthcare-specific data models and nbsp;(e.g. HL7 FHIR).
- Familiarity with and nbsp;data normalization dimensional modeling and and nbsp;metadata management.
- Interoperability and amp; Standards:
- Deep understanding of and nbsp;HL7 FHIR including resource profiling and implementation guides.
- Knowledge of and nbsp;Canadian health data standards: SNOMED CT LOINC
- Experience with and nbsp;FHIR tooling and nbsp;(e.g. Forge IG Publisher ).
- Data Integration and amp; ETL:
- Hands-on experience with and nbsp;ETL tools and nbsp;(e.g. Informatica).
- Ability to design and optimize and nbsp;data pipelines and nbsp;for structured and unstructured health data.
- Familiarity with and nbsp;API-based data exchange and nbsp;and and nbsp;FHIR servers and nbsp;(e.g. HAPI FHIR).
- Cloud and amp; Infrastructure:
- Understanding of and nbsp;containerization and nbsp;(Docker Kubernetes) and and nbsp;CI/CD pipelines.
- Security and amp; Governance:
- Strong grasp of and nbsp;data privacy regulations and nbsp;(e.g. PHIPA FIPPA).
- Familiarity with and nbsp;identity and access management and nbsp;(OAuth2 OpenID Connect SAML).
- Experience implementing and nbsp;data governance frameworks and nbsp;and and nbsp;role-based access controls.
- Tools and amp; Languages:
- Proficiency in and nbsp;SQL and nbsp;Python and and nbsp;R and nbsp;for data manipulation and analysis.
- Experience with and nbsp;data visualization tools and nbsp;(e.g. Power BI Tableau).
- Use of and nbsp;enterprise architecture tools and nbsp;(e.g. Sparx EA ArchiMate).
Required Soft Skills:
- Strategic Thinking: and nbsp;Ability to align data architecture decisions with public health goals policy frameworks and long-term system sustainability.
- Collaboration and amp; Stakeholder Engagement: and nbsp;Skilled in working with diverse stakeholders including public health experts vendors and technical teams to co-design solutions.
- Communication: and nbsp;Strong verbal and written communication skills to explain complex technical concepts to non-technical audiences and produce clear documentation.
- Problem Solving: and nbsp;Proactive in identifying data-related challenges and proposing innovative scalable solutions.
- Adaptability: and nbsp;Comfortable working in a fast-evolving digital public health landscape with changing standards technologies and priorities.
- Leadership: and nbsp;Capable of mentoring junior staff leading cross-functional teams and influencing architectural decisions across departments.
- Attention to Detail: and nbsp;Precision in data modeling documentation and compliance with standards and privacy regulations.
- Project Management: and nbsp;Ability to manage multiple priorities meet deadlines and contribute to strategic planning and execution.
and nbsp; and nbsp;
Must Haves: and nbsp; and nbsp;
- 8 and nbsp;years experience and nbsp;
- Data Modeling and amp; Architecture: and nbsp;
- 8 and nbsp;years experience and nbsp;Proficiency in designing and nbsp;conceptual logical and physical data models. and nbsp;
- 8 and nbsp;years and nbsp;Experience with and nbsp;healthcare-specific data models and nbsp;(e.g. HL7 FHIR). and nbsp;
- 8 and nbsp;years and nbsp;Familiarity with and nbsp;data normalization dimensional modeling and and nbsp;metadata management. and nbsp;
- Interoperability and amp; Standards: and nbsp;
- 8 and nbsp;years experience and nbsp;Deep understanding of and nbsp;HL7 FHIR including resource profiling and implementation guides. and nbsp;
- 8 and nbsp;years experience and nbsp;Knowledge of and nbsp;Canadian health data standards: SNOMED CT LOINC and nbsp;
- 8 and nbsp;years and nbsp;Experience with and nbsp;FHIR tooling and nbsp;(e.g. Forge IG Publisher ). and nbsp;
HM Note: This contract role is remote and candidates work remotely. Candidates must reside in Ontario Canada. Candidate resumes must include first and last name email and telephone contact information.DescriptionWe are seeking a strategic and technically skilled and nbsp;Data Architect and nbsp;to d...
HM Note: This contract role is remote and candidates work remotely. Candidates must reside in Ontario Canada. Candidate resumes must include first and last name email and telephone contact information.
Description
- We are seeking a strategic and technically skilled and nbsp;Data Architect and nbsp;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.
Key Responsibilities:
- Design and maintain and nbsp;enterprise-level data architectures and nbsp;for public health systems.
- Work with a vendor to develop and nbsp;logical and physical data models and nbsp;for health datasets including patient encounter immunization and surveillance data.
- Align data models with recognized and nbsp;standards and nbsp;such as SNOMED CT and LOINC.
- Promote and nbsp;interoperability and nbsp;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 and nbsp;data governance privacy and security standards.
- Support and nbsp;data integration and nbsp;across public health systems EHR EMR etc.
- Provide technical expertise in and nbsp;cloud-based data platforms including Azure and Databricks and nbsp;and 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 years and nbsp;of experience in data architecture preferably in healthcare or public health.
- 3 years and nbsp;working with HL7 FHIR standards including resource modeling and profiling.
- Strong understanding of public health reporting requirements and and nbsp;Canadian health data standards.
- Experience with and nbsp;enterprise architecture frameworks and nbsp;(e.g. TOGAF Zachman).
- Familiarity with and nbsp;cloud platforms and nbsp;(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 and amp; Architecture:
- Proficiency in designing and nbsp;conceptual logical and physical data models.
- Experience with and nbsp;healthcare-specific data models and nbsp;(e.g. HL7 FHIR).
- Familiarity with and nbsp;data normalization dimensional modeling and and nbsp;metadata management.
- Interoperability and amp; Standards:
- Deep understanding of and nbsp;HL7 FHIR including resource profiling and implementation guides.
- Knowledge of and nbsp;Canadian health data standards: SNOMED CT LOINC
- Experience with and nbsp;FHIR tooling and nbsp;(e.g. Forge IG Publisher ).
- Data Integration and amp; ETL:
- Hands-on experience with and nbsp;ETL tools and nbsp;(e.g. Informatica).
- Ability to design and optimize and nbsp;data pipelines and nbsp;for structured and unstructured health data.
- Familiarity with and nbsp;API-based data exchange and nbsp;and and nbsp;FHIR servers and nbsp;(e.g. HAPI FHIR).
- Cloud and amp; Infrastructure:
- Understanding of and nbsp;containerization and nbsp;(Docker Kubernetes) and and nbsp;CI/CD pipelines.
- Security and amp; Governance:
- Strong grasp of and nbsp;data privacy regulations and nbsp;(e.g. PHIPA FIPPA).
- Familiarity with and nbsp;identity and access management and nbsp;(OAuth2 OpenID Connect SAML).
- Experience implementing and nbsp;data governance frameworks and nbsp;and and nbsp;role-based access controls.
- Tools and amp; Languages:
- Proficiency in and nbsp;SQL and nbsp;Python and and nbsp;R and nbsp;for data manipulation and analysis.
- Experience with and nbsp;data visualization tools and nbsp;(e.g. Power BI Tableau).
- Use of and nbsp;enterprise architecture tools and nbsp;(e.g. Sparx EA ArchiMate).
Required Soft Skills:
- Strategic Thinking: and nbsp;Ability to align data architecture decisions with public health goals policy frameworks and long-term system sustainability.
- Collaboration and amp; Stakeholder Engagement: and nbsp;Skilled in working with diverse stakeholders including public health experts vendors and technical teams to co-design solutions.
- Communication: and nbsp;Strong verbal and written communication skills to explain complex technical concepts to non-technical audiences and produce clear documentation.
- Problem Solving: and nbsp;Proactive in identifying data-related challenges and proposing innovative scalable solutions.
- Adaptability: and nbsp;Comfortable working in a fast-evolving digital public health landscape with changing standards technologies and priorities.
- Leadership: and nbsp;Capable of mentoring junior staff leading cross-functional teams and influencing architectural decisions across departments.
- Attention to Detail: and nbsp;Precision in data modeling documentation and compliance with standards and privacy regulations.
- Project Management: and nbsp;Ability to manage multiple priorities meet deadlines and contribute to strategic planning and execution.
and nbsp; and nbsp;
Must Haves: and nbsp; and nbsp;
- 8 and nbsp;years experience and nbsp;
- Data Modeling and amp; Architecture: and nbsp;
- 8 and nbsp;years experience and nbsp;Proficiency in designing and nbsp;conceptual logical and physical data models. and nbsp;
- 8 and nbsp;years and nbsp;Experience with and nbsp;healthcare-specific data models and nbsp;(e.g. HL7 FHIR). and nbsp;
- 8 and nbsp;years and nbsp;Familiarity with and nbsp;data normalization dimensional modeling and and nbsp;metadata management. and nbsp;
- Interoperability and amp; Standards: and nbsp;
- 8 and nbsp;years experience and nbsp;Deep understanding of and nbsp;HL7 FHIR including resource profiling and implementation guides. and nbsp;
- 8 and nbsp;years experience and nbsp;Knowledge of and nbsp;Canadian health data standards: SNOMED CT LOINC and nbsp;
- 8 and nbsp;years and nbsp;Experience with and nbsp;FHIR tooling and nbsp;(e.g. Forge IG Publisher ). and nbsp;
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