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Closing Date:03/02/2026
Type of Position:Data Analysis and Insights
Workstudy Position:No
Job Type:Regular
Work Shift:Sponsorship Available:No
Institution Name: University of Arkansas, Fayetteville
Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation's top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation's strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Applicants are required to submit a request for each position of which they have applied.
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Department:Institutional Research and Assessment
Department's Website:Summary of Job Duties:The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University's cloud-based data lake and warehousing environment, with a primary focus on Microsoft Fabric. This role is responsible for building scalable, reliable data pipelines and integration solutions that enable enterprise analytics and reporting across academic and administrative units.
This position designs and delivers data solutions that have direct impact in supporting the University's land-grant mission, student success initiatives, and operational excellence. Partnering closely with data architects, analysts, and campus stakeholders, the role shapes data models and system architecture while also mentoring peers, conducting code reviews, and promoting data engineering best practices. This position requires deep technical expertise, strong problem-solving skills, and the ability to balance hands-on development with team-level technical leadership in a collaborative, service-oriented environment.
Key Responsibilities
Design, develop, and optimize complex, scalable data pipelines to ingest data from enterprise systems such as Workday, Slate, facilities management, parking and transit, housing, and other institutional platforms.
Build and maintain data solutions within Microsoft Fabric, including lakehouse, warehouse, and semantic model components as appropriate.
Implement robust data transformation logic to produce high-quality, reliable, and well-modeled datasets for analytics and reporting.
Collaborate with data architects, analysts, and institutional data partners to define data models and integration strategies.
Monitor, troubleshoot, and continuously improve pipeline performance, reliability, and cost efficiency.
Implement and enforce data quality checks, validation rules, and error-handling mechanisms.
Ensure compliance with data governance, security, access control, and privacy standards.
Serve as a technical leader by conducting code reviews, providing meaningful technical guidance, and helping plan and distribute work based on team capacity and priorities.
Produce clear, concise, and easily interpretable technical documentation to support ongoing development and operations.
Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.
Qualifications:Minimum Qualifications:- Bachelor's degree from an accredited institution of higher education
- Advanced knowledge of ETL/ELT design and development in modern data platforms as evidenced by application materials
- Strong code analysis, debugging, and performance optimization skills as evidenced by application materials
- Experience ingesting, transforming, and managing large and complex datasets
- Demonstrated ability to anticipate, identify, and mitigate data quality and pipeline reliability issues as evidenced by application materials
- Working knowledge of change data capture (CDC) concepts and implementation as evidenced by application materials
- Solid understanding of design principles, including normalization and dimensional design as evidenced by application materials
- Proven track record of success in data engineering or related technical data roles
Preferred Qualifications:- Experience serving in a technical lead or senior engineering role
- Cloud-based data development experience, preferably using Microsoft Azure and/or Microsoft Fabric
- Experience ingesting and transforming Workday-sourced data
- Familiarity with distributed processing frameworks (e.g., Spark)
- Basic understanding of data governance concepts, including data stewardship, metadata management, and access controls
- Experience supporting analytics and reporting tools such as Power BI
Additional Information:Salary Information:$100,000 to $115,000
Required Documents to Apply:Cover Letter/Letter of Application, List of three Professional References (name, email, business title), Resume
Optional Documents:Proof of Veteran Status
Recruitment Contact Information:Crystal Ellis, Strategic Talent Acquisition Specialist,
All application materials must be uploaded to the University of Arkansas System Career Site
Please do not send to listed recruitment contact.
Special Instructions to Applicants:Pre-employment Screening Requirements:Criminal Background Check, Sex Offender Registry
The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All Application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:N/A
Frequent Physical Activity:N/A
Occasional Physical Activity:N/A
Benefits Eligible:Yes
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