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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** UNIVERSITY OF UTAH - **Location:** Salt Lake City, UT, United States - **Experience:** Experienced - **Salary:** $80,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Big Data, Business Systems, Data Architecture, Data Transformation, Data Visualization, Data Warehousing, Relational Databases, Query Languages, Oracle SQL Developer, Power BI, Lucidchart, Standard Sql, SQL Databases, Tableau (Software), Freeform SQL, Advanced Reports, People Soft, Data Pipelines - **Published:** September 10, 2026 - **Apply:** https://utah.peopleadmin.com/postings/209719/pre_apply ## About the Role * 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, 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)., Data Architect, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience. Data Architect, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience. Data Architect, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience. Data Architect, V: Requires a bachelor's (or equivalency) + 10 years or a master's (or equivalency) + 8 years of directly related work experience. Data Architect, VI: Requires a bachelor's (or equivalency) + 12 years or a 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 related field, The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education., + High School Diploma or Equivalent + Associate Degree + Bachelor's Degree + Master's Degree + Doctorate Degree 2. * How many years of related work experience do you have? + Less than 6 years + 6 years or more, but less than 9 years + 9 years or more, but less than 12 years + 12 years or more, but less than 15 years + 15 years or more 3. How many years of experience using SQL do you have? + Less than 1 year + 1 year or more, but less than 2 years + 2 year or more, but less than 4 years + 4 years or more, but less than 6 years + 6 years or more 4. Are you legally eligible to work in the U.S.? ## Description * 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 ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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