Lead Analytics Solutions Engineer

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Closing Date:

03/02/2026

Type of Position:

Data Analysis and InsightsNo

Job Type:

RegularNo

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 nations 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 nations 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 () : Request an Accommodation. Applicants are required to submit a request for each position of which they have applied.

For general application assistance or if you have questions about a job posting please contact Human Resources at 479.575.5351.

Department:

Institutional Research and Assessment

Summary of Job Duties:

The Lead Analytics Solutions Engineer provides technical leadership for the design development and ongoing operation of the Universitys 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 Universitys 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:

• Bachelors 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:

$100000 to $115000Cover Letter/Letter of Application List of three Professional References (name email business title) ResumeProof of Veteran StatusCrystal 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 Universitys 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