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.

• Provide technical leadership, design, plan, develop deploy production quality enterprise level data pipelines using Cloud technologies with a team of data engineers using new and emerging industry standard tools, frameworks, and best practices
• Lead project management, define project milestones, timelines, and deliverables for on-time delivery
• Supervise a team of data engineers (2-5 individuals)
• Provide regular updates on project status, team performance, and technical challenges to technical and non-technical audience
• Other duties as assigned (see links below)

Internal Applicants

External Applicants

The Data Architect works closely with the Chief Enterprise Data Architect to augment data architecture and management, increase capacity for complex projects, and improve overall alignment with business objectives. The Data Architect leverages their creativity to solve complex problems and build effective relationships through open communication. 

• Key responsibilities include designing and implementing robust and scalable cloud-based data solutions, to meet executive priorities
• Other key tasks include developing and maintaining a comprehensive data strategy that aligns with enterprise goals
• In addition, this role entails developing and implementing standards and best practices related to data architecture, under the supervision and guidance of the Chief Enterprise Data Architect
• The Data Architect would also research and and recommend new technologies to enhance our data capabilities
• Other duties as assigned (see links below)

Internal Applicants 

External Applicants

The Data ETL Engineer develops extract, transform, and load (ETL) procedures using integration tools such as Informatica for complex data models that reflect academic and administrative business processes at the University of Texas at Austin. They play a critical part in establishing a valuable cloud data warehouse that supports critical business decisions and data analysis processes for the campus community. The Data ETL Engineer leverages their creativity to solve complex data and business problems and builds effective relationships through open communication. 

• Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc.
• Adapt ETL programs to evolving data models and business needs
• Adapt ETL programs in response to data quality assurance findings
• Partner with key stakeholders including enterprise data architect, subject matter experts (SMEs), data modelers, and teammates

Internal applicants

External applicants