About The Role
As a Healthcare Data Architect within the Group Digital Department, you will play a key role in shaping B. Braun's Digital Foundation by establishing a consistent, interoperable, and business-driven healthcare data architecture across digital health solutions, analytics platforms, and patient-centric services.
Functionally guided by the Center of Competence (CoC) Corporate Data Management , you will work closely with product teams, healthcare experts, engineers, architects, and governance stakeholders to ensure that healthcare data can be understood, trusted, governed, exchanged, and reused across the organization.
You will be responsible for defining and evolving the healthcare data architecture supporting the Digital Foundation , including the Data Intelligence Platform (DIP) and Data Hub. Your primary focus will be enabling semantic interoperability between healthcare systems, medical devices, clinical workflows, digital health applications, and analytics solutions.
The role combines strong healthcare domain expertise with data architecture, interoperability, analytics, and governance capabilities. You will translate clinical and business requirements into conceptual and logical information models, canonical healthcare data structures, reusable data products, and standards-aligned specifications that support advanced analytics, AI, reporting, and secondary use of healthcare data.
You will work with healthcare interoperability standards and terminologies including:HL7 FHIRHL7 v2SNOMED CTLOINCICDUCUMDICOM / DICOMwebIHE ProfilesOMOP Common Data ModelThe ultimate goal of the role is to ensure that healthcare data remains semantically consistent, interoperable, privacy-compliant, and reusable across the entire healthcare data lifecycle.

Key Responsibilities




Healthcare Data ArchitectureDefine and maintain the target healthcare data architecture for Digital Foundation solutions.
Design conceptual, logical, and canonical healthcare information models that accurately represent healthcare concepts, entities, workflows, and business meaning.
Ensure alignment between healthcare business requirements, analytical models, interoperability standards, and technical implementations.
Develop architecture blueprints and data architecture principles supporting healthcare data integration, sharing, analytics, and AI initiatives.
Contribute to the long-term evolution of the organization's healthcare data ecosystem and interoperability strategy.
Semantic Modeling and Information DesignTranslate healthcare and business requirements into governed data requirements and information models.
Establish common healthcare vocabularies and semantic standards across products and platforms.
Design reusable canonical models for patients, encounters, observations, medications, procedures, devices, organizations, practitioners, and related healthcare domains.
Define relationships, cardinalities, identifiers, references, provenance, and lifecycle management of healthcare information.
Ensure preservation of clinical meaning throughout data transformations and integrations.
Healthcare InteroperabilityDefine and govern mappings between source systems, healthcare standards, analytical models, and data products.




Apply healthcare interoperability standards including:HL7 FHIRHL7 v2DICOM / DICOMwebIHE ProfilesOMOPSupport interoperability initiatives across hospitals, healthcare providers, medical devices, patient-facing applications, and analytics platforms.
Provide architectural guidance for API-based, event-driven, and standards-based healthcare integrations.
StructureDefinitionsProfilesExtensionsValueSetsCodeSystemsConceptMapsExamplesImplementation GuidesDefine conformance rules and implementation guidance for healthcare solutions.
Collaborate with clinical experts and domain specialists to ensure accurate representation of healthcare concepts.
SNOMED CTLOINCICDUCUMOther healthcare code systemsDefine coding and terminology binding strategies supporting interoperability and analytics.
Ensure consistency of healthcare concepts across operational and analytical environments.
Metadata, Governance, and Data QualityOperate and continuously enhance the Enterprise Data Catalog (dataspot). Business definitionsData assetsData ownershipData lineageData quality rulesData productsHealthcare conceptsEstablish governance mechanisms for healthcare data products and interoperability assets.
Define semantic quality controls and validation approaches.
Analytics and Data Hub ArchitectureDefine and evolve healthcare data structures supporting analytics and AI use cases.
Contribute to the architecture of the Data Hub and related analytical platforms.
Design healthcare data products enabling:ReportingClinical analyticsOperational analyticsPopulation health analyticsAI and machine learning initiativesSupport OMOP and other analytical standards when relevant.
Align operational healthcare systems with analytical data models and data products.
Privacy, Compliance, and SecurityEnsure

📌 Healthcare Data Architect (Barcelona)
🏢 B. Braun
📍 Barcelona