Data Solutions Architect

Job not on LinkedIn

🔥 12 hours ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

💵 $120k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

University of Wisconsin-Madison

WebsiteLinkedInAll Job Openings

10,000+ employees

📚 Education

🏛️ Government

Education • Government

University of Wisconsin-Madison is a public research university and flagship campus of the University of Wisconsin System located in Madison, WI. It is one of the largest research institutions in the United States, investing more than $1 billion annually in research across the humanities, sciences, and applied fields, and emphasizes public service through the long-standing “Wisconsin Idea. ” The university offers undergraduate and graduate programs, community outreach, and extensive campus resources and athletics, while promoting diversity, inclusive excellence, and community engagement.

📋 Description

• 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

• 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

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