Lead Analytics Solutions Engineer

University of Arkansas • Fayetteville, AR

5d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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.

Benefits

• university contributions to health, dental, life and disability insurance
• tuition waivers for employees and their families
• 12 official holidays
• immediate leave accrual
• a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary

What This Job Offers

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