Data Architects

About the role

The University Analytics & Institutional Reporting (UAIR) office houses a transformational group of data professionals that turn complex university data into meaningful, highly valued information trusted by university leadership to drive strategic decisions and generate official figures reported to regulatory, external, and public agencies. The UAIR team operates with an iterative mindset of continuous improvement, learning and adapting strategies as we go. We believe the strengths and knowledge each person brings to the team bolster our collective work and aim for a collaborative environment where we thrive together while tapping into our strongest individual contributions.

We are seeking an experienced data architect to participate in the design, build, testing, implementation, and maintenance of data transformation pipelines. As a member of the team, you'll work with a group of data management professionals dedicated to designing and delivering thoughtful data models and wrangling data with care. This is a hybrid role requiring residence in the state of Utah with the ability to work from campus three days per week. The office is not currently able to support individuals seeking visa sponsorship; living in and working from Utah is a requirement.

The University of Utah, located in Salt Lake City in the foothills of the Wasatch Mountains, is the flagship institution of the state's higher education system, a tier-one research institution with membership in the Association of American Universities (AAU) and the Big 12 Athletic Conference.

Responsibilities

• Research source data structures, relationships, content, and quality; support requirements discovery.
• Design, build, implement, and maintain data transformation pipelines, processes, and reporting structures formatted to support data science, strategic reporting, master data sources, enterprise integrations, point-in-time snapshots, and more.
• Help automate and manage data quality audits and correction processes.
• Write complex SQL queries to support analytics needs.
• Develop and maintain data and process documentation, including data flow diagrams, data concepts, keys, definitions, and process steps.
• Share ideas and knowledge, be open to learning from others, and grow with the team as we explore new ideas, methods, and tools in our journey of continuous forward progress.
• Other duties as assigned.

Qualifications

Minimum Qualifications: Bachelor's degree and 6 years of experience, or master's degree and 4 years of work experience in institutional research, business analytics, data science, or a related field.

• Proficiency in querying, manipulating, and analyzing complex datasets.
• Excellent interpersonal and communication skills with the ability to present complex data to both technical and non-technical audiences.
• Demonstrated experience with data visualization tools such as Tableau, Microsoft Power BI, etc.
• Experience with data querying languages such as SQL.
• Proficiency in Python coding.
• Experience working with APIs.
• Demonstrated ability to manage multiple projects and work collaboratively across teams.

Equivalency Statement: 1 year of higher education can be substituted for 1 year of directly related work experience (e.g., a bachelor's degree = 4 years of directly related work experience).

The department may hire at one of the following job levels:

• Data Architect II: Bachelor's (or equivalency) + 4 years, or master's (or equivalency) + 2 years of directly related work experience.
• Data Architect III: Bachelor's (or equivalency) + 6 years, or master's (or equivalency) + 4 years of directly related work experience.
• Data Architect IV: Bachelor's (or equivalency) + 8 years, or master's (or equivalency) + 6 years of directly related work experience.
• Data Architect V: Bachelor's (or equivalency) + 10 years, or master's (or equivalency) + 8 years of directly related work experience.
• Data Architect VI: Bachelor's (or equivalency) + 12 years, or master's (or equivalency) + 10 years of directly related work experience.

Preferences

• Advanced Oracle SQL skills to query and manipulate data, create and manage objects.
• Experience and acumen to move complex data transformation projects forward under minimal supervision.
• 6 or more years of experience in any of the following areas:
  • Relational database or data warehouse programming/development with an aptitude for translating business needs into sound technical solutions.
  • Data reporting and analysis, building queries from large relational databases to audit data, perform ad hoc analysis, generate standard reports, with a strong understanding of the back-end structures that facilitate reporting.
  • Higher education administration with broad and deep knowledge of student, faculty, HR, or finance data and processes, or experience managing data in an institutional research (IR) setting.
  • Business systems analysis with a strong understanding of requirements analysis, data and process flows, liaising with functional and technical groups, testing, auditing data, troubleshooting, and issue resolution.
• Experience with PeopleSoft data, Tableau, Lucid Chart, and/or similar ERP systems, visualization, and diagramming tools.
• Experience building data pipelines in AWS using tools such as Glue and Apache Airflow.
• A master's degree in MIS or a related field.

Pay

Pay rate range: $80,000 – $130,000 annually.

Schedule

Full-time, 8:00 AM – 5:00 PM MT, Monday–Friday. Hybrid schedule requiring three days per week on campus.

Benefits

• Personal (401a) retirement account with employer contribution of 14.2%.
• Highly competitive health insurance.
• Generous paid leave time.
• Free public transportation pass (UTA).
• 50% tuition reduction for eligible employee and family members.
• Additional benefits detailed at https://benefits.utah.edu/.

Requisition PRN46305B; Department 00822 – University Analytics & Institutional Reporting; Campus location; Close date 12/21/2026; Open until filled.