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.

• Design and implement robust and scalable cloud-based data solutions, to meet executive priorities.
• Develop and maintain a comprehensive data strategy that aligns with enterprise goals.
• Develop and implement standards and best practices related to data architecture, under the supervision and guidance of the Chief Enterprise Data Architect.
• Research and and recommend new technologies to enhance our data capabilities.

Internal applicants

External applicants

The Scrum Advocate for the Data to Insights (D2I) Initiative will guide and coach D2I Scrum teams on agile practices and principles to integrate and simplify university data for insightful decision-making. The Scrum Advocate will engage with stakeholders from various university academic, administrative, and student support offices and with Scrum team members with functional, analytical, and technical expertise; they also will work, as needed, with the D2I operations team and the chief strategist for D2I to steer Scrum adoption and implementation. This position calls for a servant leader and change agent who supports the initiative and the university as we establish core practices of transparency, inspection, and adaptation and uphold our core values of respect, focus, openness, commitment, and courage.

• Organize and facilitate Scrum events such as sprint and release planning, daily stand-ups, sprint demos and reviews, and sprint retrospectives.
• Work with the development team and product owner to identify techniques for effective product backlog refinement, including the curation of clear and concise backlog items, product owner communication and education, minimum viable product agreement, and product release.
• Train, mentor, and support cross-functional teams of analysts, engineers, and functional experts to follow Agile values, principles, and practices, including self-organization, self-discipline, collaborative decision making, cooperative development, experimentation, and continuous learning. Encourage transparency, inspection, and adaptation. 
• Function as the team’s information radiator, ensuring necessary internal and external communication and improving overall transparency.

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