Data Architects

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• Open Date: 12/22/2025
• Requisition Number: PRN
  43884B
• Job Title: Data Architects
• Working Title: Data Architects
• Career Progression Track: P00
• Track Level: P7 - Senior Principal, P6 - Principal, P5 - Expert, P4 - Advanced
• FLSA Code: Computer Employee
• Patient Sensitive Job Code?: No
• Standard Hours per Week: 40
• Full Time or Part Time?: Full Time
• Shift: Day
• Work Schedule
  
  Summary:
  
  Employees must reside in the state of Utah but might have the opportunity to work a hybrid (in‑office and remote) work schedule. Possible consideration of a request for a fully remote work schedule, subject to approval and change.
• VP Area: U of U Health - Academics
• Department: 00952 - Division of Epidemiology
• Location: Campus
• City: Salt Lake City, UT
• Type of Recruitment: External Posting
• Pay Rate Range: n/a
• Close Date: 03/23/2026
• Priority Review Date (Note - Posting may close at any time):

Work with a talented team of developers, researchers and clinicians in the University of Utah Division of Epidemiology to conduct large‑scale research projects in the domain of infectious diseases. The successful candidate will work collaboratively to develop analysis plans and technical specifications, maintain study documentation, create study cohorts and analytic files from relational databases, extract information from clinical text using natural language processing (NLP), and conduct basic and advanced statistical analyses within the US Department of Veterans Affairs (VA) Corporate Data Warehouse (CDW) and the University of Utah Center for High Performance Computing (CHPC) environments.

Previous experience VA CDW, University Electronic Data Warehouse (EDW), or other large electronic health record or administrative healthcare data sets strongly preferred. Must be proficient in data analysis and management familiar with Microsoft Business Intelligence stack.

Experience with TSQL, SSIS, SSRS, SSAS and Power BI strongly preferred. Proficiency in either Python or R required. Expert use of natural language processing libraries (spaCy, medspa

Cy, huggingface, etc.) and/or machine learning frameworks (scikit‑learn, Pytorch, etc.) a plus.

Opportunity for advancement depending upon experience and performance.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

Design, deploy, and manage the organization’s data architecture. Collaborate with technology and management teams to understand structural requirements and define standards for how data will be stored, consumed, integrated, and managed across the organization and translate into a usable blueprint. Build an inventory of data needed to implement architecture and create a vision for how data will flow through the organization.

Design and build complex data models, approve modifications, and implement systems. Implement measures to ensure data accuracy and accessibility, constantly monitoring and refining the performance of data management systems. Produce and enforce database development standards. Possess strong understanding of data modeling tools and standards, ETL tools, and big data technologies (e.g., Hadoop, Spark, Pig, No

SQL). Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.

Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.

This is an Advanced‑Level position in the General Professional track.

Job Code: P34004

Grade: P23

Expected Pay Range: $77,587 to $152,893

Design, deploy, and manage the organization’s data architecture. Collaborate with technology and management teams to understand structural requirements and define standards for how data will be stored, consumed, integrated, and managed across the organization and translate into a usable blueprint. Build an inventory of data needed to implement architecture and create a vision for how data will flow through the organization.

Design and build complex data models,…