Data Solutions Architect

Role Description

The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.

The Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH’s data platform. This role ensures the secure, scalable integration, storage, and analysis of complex clinical and research data assets across a cloud-based environment. The position supports advanced analytics, machine learning, and federated research capabilities while maintaining compliance with HIPAA and institutional data governance standards.

Working closely with data engineers, AI specialists, security analysts, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data architecture solutions that support WHDH’s long-term platform strategy.

Key Responsibilities

• Data Architecture and Platform Design
  • 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.
• Data Integration and Interoperability
  • 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.
  • Implement scalable services supporting federated queries, distributed analytics, and secure data sharing.
• Data Governance and Security
  • Ensure compliance with HIPAA, institutional governance policies, and research data security standards.
  • Establish architectural best practices related to data governance, reproducibility, and responsible use of sensitive health data.
  • Design solutions that support secure access control, auditing, and governance across the WHDH data ecosystem.
• Platform Innovation and Strategy
  • Guide the adoption of modern data platform architecture that enhances data discovery, metadata management, and scalable research workflows.
  • Evaluate and implement emerging trends that improve interoperability, accessibility, and performance of WHDH data assets.
  • Develop modular, extensible platform components that enable technology transfer and sustainability beyond the grant period.
• Collaboration and Leadership
  • Collaborate with cross-functional teams including data engineers, AI researchers, security analysts, and governance leaders.
  • Provide leadership in defining system design patterns and platform architecture standards.
  • Support multi-institutional research initiatives by enabling secure and scalable collaborative data environments.

Qualifications

• 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.

Preferred Qualifications

• Experience with healthcare data standards and interoperability frameworks.
• Experience supporting AI/ML and advanced analytics workloads.
• Expertise with federated data architectures and secure multi-institutional data collaboration.
• Experience working in federally funded research programs or academic research environments.
• Strong documentation and technical leadership skills.

Education

• Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred.

Compensation

The starting salary for the position is $120,000 annually, but is negotiable based on experience and qualifications.

Benefits

• Generous vacation, holidays, and sick leave.
• Competitive insurances and savings accounts.
• Retirement benefits.

How to Apply

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• Cover letter (required)
• Resume (required)

Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.