Data Solutions Architect

University of Wisconsin-Madison

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.

Posted 7/9/2026full-timeRemote • Wisconsin • 🇺🇸 United StatesSeniorLead💰 $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing secure, cloud-native data architectures, with a strong focus on scalable data integration and compliance with healthcare regulations. Proficient in developing high-performance analytics capabilities and guiding cross-functional collaboration to enhance data workflows.

Highest-signal resume keywords

Cloud-Native Data PlatformsData Pipeline ArchitectureLarge-Scale Data IntegrationHIPAA ComplianceHealthcare Data Environments

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignData ModelingMetadata FrameworksAI and Machine Learning AnalyticsData TransformationData IngestionData Security StandardsEnterprise-Scale SolutionsDistributed Data SolutionsResearch Data Workflows

Soft Skills

CollaborationCross-Functional Teamwork

Industry Keywords

Biomedical ResearchClinical DataData GovernanceInteroperable Data ExchangeResearch Compliance

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

generous vacation, holidays, and sick leave
competitive insurances and savings accounts
retirement benefits