Academic Staff
Regular
Technical Integration Engineer III
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 analyst, 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.
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 enhance 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 analyst, 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.
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.
- 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
- Designs small components and runs, maintains, and operates technical systems and infrastructure
Defines 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
Architects 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
Develops 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
School of Medicine and Public Health, Office of Informatics, Wisconsin Health Data Hub.
This position is within the School of Medicine and Public Health’s Office of Informatics, which is a multidisciplinary team of data scientists, engineers, developers, etc. We offer a variety of Informatics 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: We 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.
The starting salary for the position is $120,000 annually, but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.
- 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.
- 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
- Bachelor's degree strongly preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred.
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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.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The 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. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.
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