Lead Data Engineer

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 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., Technical Leadership:

• 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 Live Tables, Spark optimization techniques, and workflow automation.
• Implement systems for data quality, observability, governance, and compliance using tools such as Unity Catalog, Delta Lake, and data validation frameworks.
• Lead technical knowledge-sharing sessions on topics such as AI/ML integration, data lakehouse architecture, and emerging data technologies., * Define project milestones, timelines, and deliverables for data and AI initiatives, ensuring timely and high-quality outcomes.
• Collaborate with both internal and external stakeholders such as data architects, system architects, business users, Agile team members, and other D2I internal groups.
• Manage project priorities, sprint planning, and team workloads while balancing innovation with delivery.
• Communicate risks, dependencies, and resource constraints effectively, and develop mitigation plans for on-time project delivery., * Supervise and mentor a team of Data Engineers (2-5 individuals) working on cloud, Databricks, and AI pipeline initiatives.
• Foster a culture of continuous learning, experimentation, and technical excellence, encouraging engineers to explore AI and automation use cases.
• Participate in recruiting, onboarding, and developing data engineering talent with strong Databricks and AI skillsets.
• Conduct performance reviews, set development goals, and create individualized growth plans for team members.
• Encourage collaboration across Data, AI/ML, Analytics, and Infrastructure teams to drive cross-functional success., * Provide regular updates on project progress, technical challenges, and project milestones to both technical and business stakeholders.
• Translate complex technical concepts related to Databricks, AI, and data architecture into clear narratives for non-technical audiences.
• Foster a transparent communication culture and provide actionable feedback to promote a growth mindset.
• Ensure all data engineering processes, architectures, and standards are well-documented for reuse, governance, and knowledge continuity.

Innovation and Other Duties:

• Stay current with advancements in AI, data engineering, and Databricks ecosystem, evaluating new tools and frameworks for potential adoption.
• Pilot and promote innovative solutions such as AI-assisted data quality checks, data observability automation, and intelligent pipeline optimization.
• Perform other duties as assigned, contributing to the organization’s data-driven and AI-enabled transformation., The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length., Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

Must be authorized to work in the United States on a full-time basis for any employer without sponsorship., * Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.

• 5+ years of experience designing, implementing, and optimizing complex, production-grade data pipelines or enterprise-scale data platforms.
• 5 years of experience in cloud-based data engineering using Databricks and Amazon Web Services (AWS) (e.g., Glue, S3, Lambda, Redshift).
• 3+ years of experience managing or leading teams of data and/or software engineers, including mentorship, performance management, and project delivery.
• Expertise in Python, PySpark, and SQL, with strong understanding of data modeling, stored procedures, and scalable data transformations.
• Proven experience architecting and implementing ETL/ELT solutions across relational, non-relational, and lakehouse environments (e.g., Delta Lake, Parquet, or Iceberg).
• Experience designing and managing CI/CD pipelines and infrastructure as code (IaC) using tools such as Databricks Repos, CDK, Terraform, or GitHub Actions.
• Demonstrated knowledge of test-driven development (TDD) and data quality frameworks, ensuring reliability and reproducibility across data workflows.
• Deep understanding of data governance, security, and compliance standards in cloud environments.
• Excellent analytical, problem-solving, and debugging skills across distributed data systems.
• Proven ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Experience supervising, mentoring, and guiding junior team members on technical and professional development.

Equivalent combination of relevant education and experience may be substituted as appropriate., * 8+ years of experience in Data Engineering or related fields, including 5+ years of hands-on experience building and optimizing data pipelines on Databricks or similar large-scale data platforms.

• Proven experience implementing lakehouse architectures leveraging Databricks Delta Lake, Delta Live Tables, and Unity Catalog for governance and scalability.
• Experience designing AI-ready data platforms and integrating machine learning pipelines using tools such as MLflow or model registry frameworks.
• 3+ years of experience managing or leading cross-functional technical teams, fostering collaboration between Data Engineering, Analytics, and AI/ML teams.
• 5+ years of experience with Agile software development methodologies and project tracking systems such as JIRA.
• Expertise in distributed data processing and streaming frameworks, such as Apache Spark, Kafka, Flink, or Airflow, for orchestration and automation.
• Strong familiarity with data observability, cost optimization, and performance tuning in Databricks and cloud-native architecture.
• Professional certifications such as Databricks Certified Data Engineer Professional or AWS Solutions Architect or AWS Data Analytics Specialty are highly desirable.
• Demonstrated ability to introduce new technologies and best practices to modernize existing data environments and promote AI/analytics maturity across the organization.
• Passion for continuous learning and staying current with emerging technologies in data engineering, AI integration, and Databricks ecosystem advancements., A criminal history background check will be required for finalist(s) under consideration for this position., * E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

The University of Texas at Austin and Enterprise Technology provide an outstanding benefits package to our staff. Those benefits include:

• 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 ID card, * May work around standard office conditions
• Repetitive use of a keyboard at a workstation
• Use of manual dexterity (ex: using a mouse)

Work Shift

• Monday - Friday 8am-5pm; Occasional nights or weekends may be required

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.