Lead Data Engineer

Hiring Department:
Enterprise Technology - Data to Insights (D2I)

Position Open To:
All Applicants

Weekly Scheduled

Hours:

40

FLSA Status:
Exempt

Earliest

Start Date:

Immediately

Position Duration:
Expected to Continue Until Dec 19, 2026

Location:

Texas

General Notes This is a fixed term position that is expected to continue for a 1-year limited term from start date with a possibility for extension. Flexible work arrangements are available for this position, including the ability to work 100% remotely. Remote work for individuals who reside outside Texas but within the United States and its territories will be considered and requires Central Office approval.

This position provides life/work balance with typically a 40-hour work week and travel limited to training (e.g., conferences/courses). Enterprise Technology is dedicated to supporting the mission of the University of Texas at Austin of unlocking potential and preparing future leaders of the state. Your skills will make a difference. You’ll be working for a university that is internationally recognized for research and the work you do will make a difference in the lives of our students, faculty and staff.

If you’re the type of person that wants to know your work has meaning and impact, you’ll like working for our campus. The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff.

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%)
• Vision, dental, life, and disability insurance options
• Paid vacation, sick leave, and holidays
• Teachers Retirement System of Texas (a defined benefit retirement plan)
• Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b)
• Flexible spending account options for medical and childcare expenses
• Training and conference opportunities
• Tuition assistance
• Athletic ticket discounts
• Access to UT Austin's libraries and museums
• Free rides on all UT Shuttle and Capital Metro buses with staff

For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards

Must be authorized to work in the United States on a full-time basis for any employer without sponsorship.

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

The Lead Data Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the useability and value of institutional data. You will lead senior data engineers and data engineers to create complex data pipelines within UT’s cloud data ecosystem in support of academic and administrative needs. In collaboration with our team of data professionals, you will help build and run a modern data hub to enable advanced data-driven decision making for UT.

You will leverage your creativity to solve complex technical problems and build effective relationships through open communication within the team and outside partners.

• Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks, AWS cloud-native services and modern data engineering frameworks.
• Lead end-to-end implementation of lakehouse data pipelines, ensuring performance, reliability, and cost efficiency.
• Champion industry best practices for data engineering.
• Conduct and participate in peer code reviews to maintain code quality and consistency across the team.
• Proactively identify and resolve bottlenecks in data ingestion, transformation, and orchestration processes using Databricks Delta…