Healthcare Data Architect

• Several years of experience in Healthcare Data Architecture, Clinical Informatics, Health Information Management, Healthcare Interoperability, or a related field.
• Proven experience designing healthcare information models and data architectures.
• Experience working within healthcare, med-tech, pharmaceuticals, hospital systems, or digital health environments.
• Strong expertise in:
  • Conceptual data modeling
  • Logical data modeling
  • Canonical information modeling
  • Domain-driven design
  • Semantic modeling
  • Business architecture
• Practical experience with HL7 FHIR, including:
  • Resources
  • Profiles
  • Extensions
  • Terminology bindings
  • REST APIs
  • Implementation Guides
• Strong understanding of healthcare interoperability principles and standards-based integrations.

Working knowledge of: SNOMED CT, LOINC, ICD and UCUM

Strong understanding of:

• EHR / EMR systems
• Hospital Information Systems (HIS)
• Clinical workflows
• Care pathways
• Medical-device generated data
• Healthcare operational processes

Experience with:

• Metadata management
• Data governance
• Data lineage
• Data quality
• Provenance
• Master and reference data concepts
• Healthcare data privacy and security
• Excellent stakeholder management and facilitation skills.
• Ability to translate healthcare and business requirements into implementable architecture specifications.
• Strong written and verbal communication skills in English.
• Ability to work effectively in global and cross-functional environments.

Experience in / knowledge of:

• HL7 v2
• DICOM / DICOMweb
• IHE Integration Profiles
• Medical-device interoperability standards
• IEEE 11073
• Clinical document standards
• OMOP Common Data Model
• Real-world evidence platforms
• Clinical research data
• Population health analytics
• Healthcare reporting platforms
• AI and Advanced Analytics use cases
• Data lakehouse architectures
• Cloud-native data platforms
• APIs and integration platforms
• Event-driven architectures
• Master Data Management
• Data product operating models
• FHIR Shorthand (FSH)
• Git
• GitHub
• JSON
• YAML
• API specifications
• FHIR validation tools
• Enterprise Data Catalog solutions
• High degree of ownership and accountability.
• Strong analytical and conceptual thinking.
• Ability to balance business goals, clinical meaning, and technical feasibility.
• Structured, pragmatic, and quality-oriented approach to work.
• Excellent communication and facilitation abilities.
• Collaborative mindset and ability to work across organizational boundaries.
• Curiosity and passion for healthcare innovation, interoperability, and data-driven healthcare.
• Openness to continuous learning and emerging healthcare standards.
• Ability to navigate ambiguity and drive consensus among diverse stakeholders.

Gross annual salary starting from €75,000, depending on the candidate's profile and experience.

To help you perform at your best, our offer focuses on your wellbeing, development and experience as part of the team:

• 10% variable bonus based on global and spanish company results
• Hybrid working model: 3 days working from home and 2 days in the office
• Modern, newly designed offices in central Barcelona, located on Tuset Street, next to Diagonal, in a vibrant and international Tech Hub environment
• Flexible schedule: start from 7:00 to 9:30, finish from 16:00 to 18:30
• Intensive working hours on Fridays
• Flexible compensation: transport, childcare and private health insurance
• Company-funded training and certifications based on individual and business needs
• Meal allowance and home-working allowance
• Free wellbeing platform including coaching, psychological consultations and emotional health content, with the option to extend access to family members at a discounted rate
• 23 calendar days of annual leave
• Life and accident insurance
• Benefits under the Chemical Industry Collective Agreement

B. Braun Medical, S.A. U. | Aitana Altuna |

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 FHIR
• HL7 v2
• SNOMED CT
• LOINC
• ICD
• UCUM
• DICOM / DICOMweb
• IHE Profiles
• OMOP Common Data Model

The 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.

• Define 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.
• Translate 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.
• Define and govern mappings between source systems, healthcare standards, analytical models, and data products.
• Apply healthcare interoperability standards including:
  • HL7 FHIR
  • HL7 v2
  • DICOM / DICOMweb
  • IHE Profiles
  • OMOP
• Support interoperability initiatives across hospitals, healthcare providers, medical devices, patient-facing applications, and analytics platforms.
• Identify and resolve semantic interoperability gaps between systems and domains.
• Provide architectural guidance for API-based, event-driven, and standards-based healthcare integrations.
• Author, review, govern, and validate FHIR implementation artifacts, including:
  • StructureDefinitions
  • Profiles
  • Extensions
  • ValueSets
  • CodeSystems
  • ConceptMaps
  • Examples
  • Implementation Guides
• Define conformance rules and implementation guidance for healthcare solutions.
• Review FHIR implementations to ensure consistency, interoperability, and compliance with defined standards.
• Support establishment of FHIR governance processes, implementation patterns, and best practices.
• Define terminology strategies and governance processes.
• Collaborate with clinical experts and domain specialists to ensure accurate representation of healthcare concepts.
• Maintain mappings and relationships across:
  • SNOMED CT
  • LOINC
  • ICD
  • UCUM
  • Other healthcare code systems
• Define coding and terminology binding strategies supporting interoperability and analytics.
• Ensure consistency of healthcare concepts across operational and analytical environments.
• Operate and continuously enhance the Enterprise Data Catalog (dataspot).
• Document and govern:
  • Business definitions
  • Data assets
  • Data ownership
  • Data lineage
  • Data quality rules
  • Data products
  • Healthcare concepts
• Establish governance mechanisms for healthcare data products and interoperability assets.
• Define semantic quality controls and validation approaches.
• Drive adoption of metadata management, lineage, and traceability practices.
• Define 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:
  • Reporting
  • Clinical analytics
  • Operational analytics
  • Population health analytics
  • AI and machine learning initiatives
• Support OMOP and other analytical standards when relevant.
• Align operational healthcare systems with analytical data models and data products.
• Work closely with:
  • Clinicians
  • Healthcare domain experts
  • Product owners
  • Data stewards
  • Enterprise architects
  • Integration specialists
  • Data engineers
  • Analytics teams
  • Governance functions
• Facilitate discussions to clarify healthcare semantics and business meaning.
• Communicate complex healthcare, semantic, and technical topics to diverse audiences.
• Support project teams in architectural decision-making and standards adoption.