Data Solutions Architect
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Job Description
Senior Data Solutions Architect for Wisconsin Health Data Hub developing a cloud-native data platform for biomedical research and advanced analytics. Leading data integration and governance efforts while ensuring compliance with HIPAA.
Responsibilities:
- Design and implement the architectural framework supporting WHDH’s secure, cloud-native data platform
- Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data
- Establish data models, metadata frameworks, and integration architectures that support advanced research workflows
- Design high-performance analytics capabilities enabling AI, machine learning, and large-scale data analysis
- Architect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets
- Enable interoperable data exchange across contributing health systems and research institutions
- Ensure compliance with HIPAA, institutional governance policies, and research data security standards
- Guide the adoption of modern data platform architecture that enhance data discovery, metadata management, and scalable research workflows
- Collaborate with cross-functional teams including data engineers, AI researchers, security analyst, and governance leaders
Requirements:
- At least 8 years' experience designing and implementing enterprise-scale data architectures
- Expertise with cloud-native data platforms and distributed data solutions
- Experience designing secure data pipelines and large-scale data integration frameworks
- Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements
- Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred
Benefits:
- generous vacation, holidays, and sick leave
- competitive insurances and savings accounts
- retirement benefits
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