WHDH Data Solutions Architect

  • UWSYS University of Wisconsin System Administration
  • Madison, WI
  • 1mo ago
  • Full-Time
  • Remote

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category:

Academic Staff

Employment Type:

Regular

Job Profile:

Technical Integration Eng III

Job Summary:

‚Äã‚ÄãThe 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.¬Ý

‚ÄãThe Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH‚Äôs data platform. This role ensures¬Ýthe 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¬Ýmaintaining¬Ýcompliance with HIPAA and institutional data governance standards.¬Ý

‚ÄãWorking closely with data engineers, AI specialists, security¬Ýanalyst, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data architecture solutions that support WHDH‚Äôs long-term platform strategy.¬Ý

‚ÄãKey Responsibilities:

‚ÄãData Architecture and Platform Design¬Ý

  • ‚ÄãDesign and implement the architectural framework supporting WHDH‚Äôs secure, cloud-native data platform.¬Ý‚Äã
  • Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data.¬Ý‚Äã
  • Establish data models, metadata frameworks, and integration architectures that support advanced research workflows.¬Ý‚Äã
  • Design high-performance analytics¬Ýcapabilities¬Ýenabling AI, machine learning, and large-scale data analysis.¬Ý

‚ÄãData Integration and Interoperability¬Ý

  • ‚ÄãArchitect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets.¬Ý‚Äã
  • Enable interoperable data exchange across contributing health systems and research institutions.¬Ý
  • ‚ÄãImplement scalable services supporting federated queries, distributed analytics, and secure data sharing.¬Ý‚Äã

‚ÄãData Governance and Security¬Ý

  • ‚ÄãEnsure compliance with HIPAA, institutional governance policies, and research data security standards.¬Ý‚Äã
  • Establish architectural best practices related to data governance, reproducibility, and responsible use of sensitive health data.¬Ý
  • ‚ÄãDesign¬Ýsolutions¬Ýthat support secure access control, auditing, and governance across the WHDH data ecosystem.¬Ý

‚ÄãPlatform Innovation and Strategy¬Ý

  • ‚ÄãGuide¬Ýthe adoption of modern data platform¬Ýarchitecture¬Ýthat¬Ýenhance¬Ýdata discovery, metadata management, and scalable research workflows.¬Ý‚Äã
  • Evaluate and implement emerging¬Ýtrends¬Ýthat improve interoperability, accessibility, and performance of WHDH data assets.¬Ý
  • ‚ÄãDevelop modular, extensible platform components that enable technology transfer and sustainability beyond the grant period.¬Ý

‚ÄãCollaboration and Leadership¬Ý

  • ‚ÄãCollaborate with cross-functional teams including data engineers, AI researchers, security¬Ýanalyst, and governance leaders.¬Ý‚Äã
  • Provide leadership in defining system design patterns and platform architecture standards.¬Ý‚Äã
  • Support multi-institutional research initiatives by enabling secure and scalable collaborative data environments.‚Äã¬Ý

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. It is an expectation the finalist will have permanent residence within the State of Wisconsin. Successful applicants who do not currently live in Wisconsin must have plans to move to the State within a reasonable time from the position start date.

Key Job Responsibilities:

  • ‚Äã‚ÄãDevelops architectural patterns that support large-scale biomedical datasets, including real-world data, clinical text, imaging, and genomic data, enabling advanced analytics, machine learning, and AI-driven research workflows within a secure cloud environment

  • Designs and implements data architecture that enables secure ingestion, normalization, and integration of clinical, research, and operational data from multiple health system partners while ensuring compliance with HIPAA, institutional policies, and data use agreements

  • Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes
  • Integrates, identifies, troubleshoots, monitors, and resolves complex and varied supported services, systems, network, and application problems according to established processes and procedures
  • Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning
  • Designs small components and runs, maintains, and operates technical systems and infrastructure
  • Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices
  • ‚Äã‚ÄãDefines and implements standards for healthcare data interoperability using frameworks such as HL7 FHIR, OMOP Common Data Model, and other biomedical data models to ensure consistent, high-quality data exchange across contributing institutions and research partners

  • Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions
  • Plans and directs staff implementation of small to medium technical projects as needed
  • ‚Äã‚ÄãArchitects systems that enable privacy-preserving analytics, federated queries, and secure multi-institutional collaboration while maintaining strict data governance controls and enabling authorized researchers to discover and analyze distributed health datasets

Department:

School of Medicine and Public Health, Office of Informatics and Information Technology, Wisconsin Health Data Hub.

This position is within the School of Medicine and Public Health’s Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.

  • Informatics:¬ÝWe provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

  • Technology Solutions:¬ÝWe provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support.

Compensation:

The starting salary for the position is $110,000 annually, but is negotiable based on experience and qualifications.

‚ÄãEmployees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the¬Ýcampus benefits¬Ýwebpage and the ‚Äã‚ÄãSMPH Academic Staff Benefits Flyer 2026,¬Ý

Required Qualifications:

  • At least 3 years' experience¬Ýdesigning and implementing enterprise-scale data architectures; 5 years' preferred‚Äã
  • Expertise¬Ýwith cloud-native data platforms and distributed data¬Ýsolutions.¬Ý
  • Experience designing secure data pipelines and large-scale data integration frameworks.¬Ý‚Äã
  • Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements.¬Ý

Preferred Qualifications:

  • ‚ÄãExperience with healthcare data standards and interoperability frameworks.¬Ý
  • Experience supporting AI/ML and advanced analytics workloads.¬Ý
  • ‚ÄãExpertise¬Ýwith federated data architectures and secure multi-institutional data collaboration.¬Ý‚Äã
  • Experience working in federally funded research programs or academic research environments.¬Ý
  • ‚ÄãStrong documentation and technical leadership skills‚Äã¬Ý

Education:

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

How to Apply:

‚Äã‚ÄãFor the best experience completing your application, we¬Ýrecommend using Chrome or Firefox as your web browser.¬Ý¬Ý‚Äã

‚ÄãTo apply for this position, select either ‚ÄúI am a current employee‚Äù or ‚ÄúI am not a current employee‚Äù under Apply Now. You will then be prompted to upload your application materials.¬Ý

‚ÄãImportant: The application has only one attachment field. Upload¬Ýthe following¬Ýdocuments in that field, either as a single combined file or as multiple files in the same upload area.¬Ý¬Ý

  • Cover letter¬Ý¬Ý
  • Resume¬Ý

‚ÄãYour cover letter should address¬Ýhow your training and experience¬Ýaligns¬Ýwith the required and preferred qualifications listed¬Ýabove.¬ÝApplication reviewers will rely on these written materials to¬Ýdetermine¬Ýwhich applicants move forward in the process. References will be requested from¬Ýfinal¬Ýcandidates. All applicants will be notified once the search concludes and a candidate is selected.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas.‚ÄØThe selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.‚ÄØThis position is an ongoing position that will require continuous work eligibility.‚ÄØIf you are selected for this¬Ýposition¬Ýyou must provide proof of work authorization and eligibility to work.‚ÄØ

The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.

Contact Information:

‚ÄãCody¬ÝRoekle,¬Ýcroekle@wisc.edu,¬Ý16082637676¬Ý

‚ÄãRelay Access (WTRS): 7-1-1. See¬ÝRELAY_SERVICE¬Ýfor further information.‚ÄØ‚Äã¬Ý

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal Opportunity¬ÝEmployer.¬Ý

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds¬Ýand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodation¬Ýfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)¬Ýin the division you are applying to.¬ÝPlease make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.¬Ý
¬Ý
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).¬Ý
¬Ý
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.