Job Description

Job Summary
The University Analytics & Institutional Reporting (UAIR) office houses a transformational group of data professionals that turn complex university data into meaningful, highly valued information that is 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. If you’re the type of person who loves data and wants to know your work has meaning, you may find your career home in our office.

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 who are dedicated to designing and delivering thoughtful data models and wrangling data with care.

Like many areas at the University of Utah, our office is a hybrid work environment and requires residence in the state of Utah with the ability to work from campus 3 days per week. More details can be discussed in an interview. Our office is not currently able to support individuals seeking sponsorship for visa—living in and working from the Utah is a requirement.
About the University of Utah

Located in Salt Lake City, in the foothills of the Wasatch Mountains, the University of Utah is the flagship institution of the State of Utah’s system of higher education, a tier-one research institution with membership in the Association of American Universities (AAU) and Big 12 Athletic Conference.
The University offers a strong benefits package, including a 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, and more: https://benefits.utah.edu/

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, process steps, etc.
Share your 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

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 related field
Proficiency in querying, manipulating and analyzing complex datasets
Excellent interpersonal and communication skills and 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 API’s
Demonstrated ability to manage multiple projects and work collaboratively across teams

Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Data Engineer, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.

Data Engineer, III: Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.

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

Data Engineer, V: Requires a bachelor’s (or equivalency) + 10 years or a master’s (or equivalency) + 8 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 related field