Senior Healthcare Data Architect HL7 FHIR & Interoperability

ERNI; Barcelona; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Certifications reimbursement up to €1,

Private health insurance

Sick leave coverage

Employee support program

Gym discounts

Flexible remuneration

Referral bonuses

23 vacation days

Language courses

Résumé du poste

ERNI is seeking a Senior Healthcare Data Architect to define clinical data models and interoperability architectures for our healthcare platform in Barcelona. You will apply your expertise in HL7 FHIR (R4/R5), HL7 v2.x, and DICOM to enable seamless data exchange across a global ecosystem.

Collaborate with multidisciplinary teams to ensure data is consistent, compliant and optimized for real-world clinical environments.

Qualifications

• 5+ years of experience in Healthcare Data Architecture or Clinical Informatics.
• Expert knowledge of HL7 FHIR and HL7 v2.x messaging.
• Strong experience with DICOM and hospital information systems.
• Knowledge of privacy regulations and data quality management.
• Fluent English with excellent technical communication.

Responsabilités

• Define clinical data models and interoperability architectures for healthcare platform services.
• Establish semantic governance and healthcare standards compliance.
• Translate hospital workflows into standardized specifications for implementation.
• Lead technical decisions across product, clinical and engineering teams.

Connaissances

HL7 FHIR

HL7 v2.x

DICOM/DICOMweb

Healthcare data governance

Semantic modeling

Privacy regulations

Data quality management

English communication

Description du poste

ERNI is seeking a Senior Healthcare Data Architect to define clinical data models and interoperability architectures for our healthcare platform in Barcelona. You will apply your expertise in HL7 FHIR (R4/R5), HL7 v2.x, and DICOM to enable seamless data exchange across a global ecosystem.

Collaborate with multidisciplinary teams to ensure data is consistent, compliant and optimized for real-world clinical environments.