Healthcare Data Architect

Andersen is hiring a Healthcare Data Architect for a project designing scalable data architecture and supporting secure AI transformation in the healthcare sector. The customer is a global consulting and advisory firm providing expertise in business strategy, operational improvement, risk management, and organizational change, working with clients from multiple industries. The project focuses on designing scalable enterprise data architecture for large-scale healthcare AI transformation, including data landscape assessment, future-state architecture definition, and governance and modernization roadmaps.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent professional experience.
• 8+ years of experience in enterprise data architecture.
• Extensive healthcare data architecture experience.
• Advanced SQL expertise.
• Experience designing enterprise ETL architectures.
• Experience with Azure Data Factory.
• Strong understanding of HL7 and FHIR interoperability standards.
• Experience developing enterprise data governance frameworks.
• Expertise in dimensional modeling.
• Excellent communication and consulting skills.
• English proficiency at Upper-Intermediate level or above.

Nice to have:

• Microsoft Fabric.
• Snowflake.
• Databricks.
• Modern cloud data lake architectures.

• Assessing the current-state enterprise data landscape across clinical, financial, and operational systems.
• Defining the future-state enterprise data architecture supporting AI and analytics initiatives.
• Developing canonical healthcare data models and enterprise data standards.
• Recommending scalable cloud data architecture patterns supporting future growth.
• Designing integration architectures supporting multiple enterprise applications and healthcare platforms.
• Defining target-state ETL/ELT patterns utilizing Azure Data Factory.
• Developing healthcare interoperability recommendations leveraging HL7 and FHIR standards.
• Recommending enterprise semantic models supporting analytics and AI.
• Developing enterprise data governance recommendations including metadata management, lineage, master data, and data quality.
• Defining dimensional modeling strategies supporting reporting and AI use cases.
• Identifying governance controls supporting regulatory compliance and healthcare privacy requirements.
• Defining data architectures supporting Retrieval-Augmented Generation (RAG) and enterprise AI capabilities.
• Partnering with AI Architects to identify data dependencies and knowledge management strategies.
• Developing implementation roadmaps supporting AI-ready data environments.
• Facilitating architecture workshops with business and technical stakeholders.
• Producing architecture documentation and executive recommendations.
• Supporting integrated planning across multiple workstreams.

Your personal data is protected in accordance with GDPR regulations. Data is processed by Andersen Soft UAB based in Krakow, Poland. Candidates have rights related to their personal data including access, correction, deletion, objection, and complaint rights as specified by law. Data is processed for recruitment purposes and may be stored for future recruitments upon consent. Providing personal data is mandatory as per labor law for recruitment purposes; refusal may impede recruitment. Data recipients include Just Join IT service and subcontractors involved in recruitment.