Enterprise Architect

University of Oklahoma • Norman, OK

11d • $96,700 - $104,400

About The Position

OU Information Technology is seeking a Data Architect to help shape and support the University of Oklahoma’s evolving enterprise data environment. The position will play a key role in implementing and evolving OU’s Enterprise Data Warehouse by establishing architecture, data models, standards, and patterns that bring together information across major university systems and business domains.

The Data Architect will work across technical and functional teams to define how enterprise data is structured, integrated, standardized, governed, and made available for reporting, analytics, data science, and emerging AI use cases. The role will serve as a technical design point of contact for the enterprise data environment, helping ensure solutions are consistent, scalable, supportable, and reusable as OU’s data capabilities grow.

This position offers an experienced data professional the opportunity to contribute to OU’s enterprise data strategy while working with modern cloud data technologies and a broad range of institutional data. The targeted salary is $96,700–$104,400, depending on experience and qualifications. Benefits are eligible. Work schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m. Travel is not required. Hiring is contingent upon a background check.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Management Information Systems, Engineering, or a closely related field.
• Five years of related experience.

Nice To Haves

• Experience designing enterprise data architectures across multiple systems and business domains.
• Experience developing enterprise, dimensional, and analytical data models.
• Experience with modern cloud data platforms.
• Experience establishing data architecture standards, conformed dimensions, and reusable data patterns.
• Experience with cross-system integration, identifiers, crosswalks, reference data, and Master Data Management concepts.
• Experience incorporating data governance, lineage, and data quality into technical architecture.
• Experience working with technical teams, functional stakeholders, and implementation partners in a large, complex organization.

Responsibilities

• Help implement and evolve the University’s Enterprise Data Warehouse.
• Establish enterprise data architecture, data models, standards, and patterns across major university systems and business domains.
• Define how enterprise data is structured, integrated, standardized, governed, and made available for reporting, analytics, data science, and emerging AI use cases.
• Serve as the technical design point of contact for the enterprise data environment.
• Help ensure data solutions are consistent, scalable, supportable, and reusable.
• Work across technical and functional teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior