Data Engineer Senior

Data Engineer SeniorThe Center for Academic Innovation (CAI) at the University of Michigan is seeking a highly qualified Data Engineer Senior to join our growing Data and Business Intelligence team. As we expand our Data, BI, and AI/ML capabilities in support of innovative educational solutions, the Michigan Online platform, and other CAI initiatives, this newly created role will be instrumental in designing, implementing, and optimizing a world-class data infrastructure. You will collaborate closely with cross-functional teams to translate complex business needs into robust data solutions. In addition to hands-on engineering, you will mentor colleagues and contribute to a culture of technical rigor, innovation, and continuous improvement, with ongoing opportunities to further grow and refine your technical leadership skills.Responsibilities include:Architect and implement end-to-end data warehousing solutions that integrate diverse systems and enable actionable metrics, reporting, and AI/ML use casesDesign and build scalable, resilient, and maintainable data architectures across cloud platformsApply expert-level dimensional modeling techniques to design robust logical and physical data modelsBuild and optimize complex ELT workflows and data pipelines across a large number of systemsContribute to and help operationalize scalable data governance practicesPartner with stakeholders across Engineering, Online Learning, XR, and other teams to translate complex business needs into resilient technical solutionsRequired qualifications include:Bachelor's degree required. Degree in Computer Science, Data Engineering, Information Systems, or a related field preferred5+ years of progressively responsible experience in data engineering, data architecture, or related technical rolesExpert-level knowledge of dimensional modeling (Star and Snowflake schemas) and data warehousing best practicesDeep experience with modern ELT frameworks and cloud data platforms (e.g., Snowflake, Matillion)Proven ability to design, build and scale complex data pipelines across numerous systemsStrong problem-solving, collaboration and stakeholder engagement skillsAbility to independently lead technical initiatives from design through deployment and manage multiple projects using tools like AsanaAbility to learn and appropriately use new technologies to improve processes, communication, and outcomes, including AI-enabled tools where relevant to the role, consistent with university policy and job responsibilitiesThe mode of work for this position is Hybrid with a minimum of 4 days in the office per week, Monday through Thursday, with an option of remote work on Fridays. On occasion, you may be required and must be available to work onsite on Fridays if necessitated by our center's policy and domain leadership or by your job requirements.The general salary range for this position is $105,000 - $115,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and salaries that are currently established within the unit. All candidates are encouraged to discuss salary questions to honor alignment and transparency throughout the recruiting process.