Senior Data Architect to support the development of a reference logical data model for pan-Cana[...]

S.i. Systems; London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading healthcare consultancy in London is seeking a Senior Data Architect to lead the development of a healthcare reference logical data model. This role requires over 7 years of experience in data architecture within the healthcare sector, with a focus on HL7 standards and data governance. The position offers a 1-year contract with remote work opportunities and the chance to influence large-scale systems integration initiatives.

Qualifications

• 7+ years of experience as a Senior Data Architect.
• Experience with HL7 (includes HL7 v2, v3 RIM, CDA or FHIR).
• 5+ years of experience developing a Logical Data Model for large healthcare organizations.
• 5+ years working with data governance concepts.
• 10+ years applying information/data architecture concepts.

Responsibilities

• Develop Healthcare Reference Logical Data Model applicable across geographies.
• Work with internal stakeholders to gather data concepts.
• Review existing healthcare concepts and models.
• Create Information/data architecture supporting business needs.
• Assess current health landscape for relevant information and standards.

Skills

Senior Data Architect experience

HL7

Data Governance

Data Architecture concepts

Project delivery

Job description

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Senior Data Architect to support the development of a reference logical data model for pan-Canadian healthcare!, London

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Client:

S.i. Systems

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

0c9c41d7e617

Job Views:

8

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

Our valued healthcare client is seeking a Senior Data Architect to support the development of a reference logical data model for pan-Canadian healthcare!

Initial 1-year contract, with possibility of extension. % remote (EST)

Responsibilities

• Focus on the development of a Healthcare Reference Logical Data Model (currently data elements and expanding) that can be applied across geographies; includes concepts, definitions, and relationships; is technology agnostic; includes comprehensive metadata modelling; and provides definitions for all aspects of the logical data model based on related data standards. This data model must also include concepts, definitions, and relationships.
• Works closely with various internal stakeholders including analysts and architects to gather their input on data concepts and solutions;
• Review and understand existing healthcare concepts and models in collaboration with key national, provincial, and territorial stakeholders;
• Apply data architectural and modelling experience to the creation of Information/data architecture that supports solutions that meet business needs;
• Assess current health landscape for relevant information, data models, and standards to determine future architecture (e.g. HL7 RIM, FHIR, SNOMED CT);
• Collaborate on the definition of related data standards, business glossary and data requirements.
• Provide subject matter expertise and technical leadership on the data architecture discipline.
• Ensures that interoperability capability, data consistency, data lifecycle, technological risks are all addressed in the data architecture;
• Collaborate with internal technical resources on development and promotion of data standards.

Must-Have

• 7+ years of experience as a Senior Data Architect working on organization wide systems integration and transformation initiatives
• Experience with HL7 (includes HL7 v2, v3 RIM, CDA or FHIR)
• 5+ years of experience leading the development of a Logical Data Model for large organizations in the Healthcare space, especially for provincial or municipal government clients
• 5+ years of experience working with data governanceconcepts
• 10+ years of experience applying information/data architecture concepts, patterns and standards
• 5+ years of demonstrated project delivery experience leading large scale data architecture

Nice to Have

• Good understanding of International Patient Summary(IPS)
• Familiarity with key health care terminologies and classifications (such as, SNOMED-CT, LOINC, ICD-10-CA/CCI, etc.)
• Familiarity with data management best practices e.g. DAMA-DMBOK. Experience with Metadata and Data Governance
• Knowledge of TOGAF, Zachman or other architecture frameworks.