Data Solutions Architect

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Job Category:

Academic Staff

Employment Type:

Regular

Job Profile:

Technical Integration Eng III

Job Summary:

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.

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 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.

Key

Job Responsibilities:

* 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…