About The RoleAs 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 (Co C) 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.
Key Responsibilities
Healthcare Data Architecture 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. Semantic Modeling and Information Design 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. Healthcare Interoperability 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. FHIR Architecture and Governance Author, review, govern, and validate FHIR implementation artifacts, including:




Structure Definitions
Profiles
Extensions
Value Sets
Code Systems
Concept Maps
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. Terminology and Clinical Semantics 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. Metadata, Governance, and Data Quality 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. Analytics and Data Hub Architecture 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. Privacy, Compliance, and Security Ensure privacy-by-design principles are incorporated into healthcare data architectures.
Support architecture decisions regarding:
Data minimization
Pseudonymization
Anonymization
Consent management
Data retention
Access control
Assess implications of regulations and frameworks such as:
GDPR
EHDS
HIPAA (where relevant)
Medical device regulations
Collaborate with security and privacy experts on sensitive healthcare data architectures. Stakeholder Collaboration 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. Must Have Qualifications
Professional Experience 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. Healthcare Data Modeling Strong expertise in:
Conceptual data modeling
Logical data modeling
Canonical information modeling
Domain-driven design
Semantic modeling




Business architecture Healthcare Interoperability 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. Healthcare Terminologies
Working knowledge of: SNOMED CT, LOINC, ICD and UCUM
Healthcare Domain Knowledge
Strong Understanding Of EHR / EMR systems
Hospital Information Systems (HIS)
Clinical workflows
Care pathways
Medical-device generated data
Healthcare operational processes Data Governance
Experience With Metadata management
Data governance
Data lineage
Data quality
Provenance
Master and reference data concepts
Healthcare data privacy and security Communication and Collaboration 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 general and cross-functional environments. Nice to Have
Experience In / Knowledge Of
Advanced Healthcare Standards HL7 v2
DICOM / DICOMweb
IHE Integration Profiles
Medical-device interoperability standards
IEEE 11073
Clinical document standards Healthcare Analytics OMOP Common Data Model
Real-world evidence platforms
Clinical research data
Population health analytics
Healthcare reporting platforms
AI and Advanced Analytics use cases Modern Data Platforms Data lakehouse architectures
Cloud-native data platforms
APIs and integration platforms
Event-driven architectures
Master Data Management
Data product operating models Technical Skills FHIR Shorthand (FSH)
Git
Git Hub
JSON
YAML
API specifications
FHIR validation tools
Enterprise Data Catalog solutions Privacy and Regulatory Knowledge GDPR
EHDS
HIPAA
ISO 27799
ISO/IEC 20889
Healthcare privacy and security frameworks Soft Skills 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. What We Offer
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
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📌 Healthcare Data Architect (Madrid)
🏢 B. Braun Group
📍 Madrid