Career openings for D2I will evolve as we post new positions and fill current openings.
See our complete roster of current openings and check back often.
Senior Data Engineer
The Senior 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 create complex data pipelines into 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.
- Lead the design, development, and automation of scalable, high-performance data pipelines across institutional systems, AWS, Databricks, and external vendor APIs.
- Implement Databricks Lakehouse architectures to unify structured and unstructured data, enabling AI-ready data platforms that support advanced analytics and machine learning use cases.
- Build robust and reusable ETL/ELT workflows using Databricks, Spark, Delta Lake, and Python to support batch and streaming integrations.
Principal Data Engineer
The Principal 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 be responsible for leading the data engineering team to innovate and implement the newest data engineering trends and best practices to create complex data pipelines withing 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.
This particular position has a heavy emphasis on Databricks and AI Readiness.
- Architect, design, and lead the development of enterprise-scale, production-grade data platforms and pipelines using Databricks and cloud-native technologies (AWS, Azure, or GCP).
- Champion the adoption of the Databricks Lakehouse architecture to unify data warehousing, data science, and machine learning workloads across the organization.
- Provide strategic technical leadership and mentorship to data engineering teams, fostering a collaborative environment that promotes innovation, accountability, and growth.
- Lead research and development efforts to evaluate and implement cutting-edge technologies within the Databricks ecosystem and broader AI/data landscape.
Lead Data Engineer
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.
- Define project milestones, timelines, and deliverables for data and AI initiatives, ensuring timely and high-quality outcomes.
- Supervise and mentor a team of Data Engineers (2–5 individuals) working on cloud, Databricks, and AI pipeline initiatives.
Data Architect
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)