Data Engineer Senior

A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in two pages or less, please let us know how this role aligns with your career aspirations and skill set. Submit both a cover letter and resume as one file (because of system limitations). Data Architecture & Solution Design Architect and implement end-to-end data warehousing solutions that integrate diverse systems and enable actionable metrics, reporting, and AI/ML use cases. Design and build scalable, resilient, and maintainable data architectures across cloud platforms. Establish and enforce standards for data modeling, pipeline development, and documentation. Advanced Data Modeling & Engineering Apply expert-level dimensional modeling techniques (e.g., Kimball methodology, Star and Snowflake schemas) to design robust logical and physical data models. Build and optimize complex ELT workflows and data pipelines across a large number of systems. Lead performance tuning and cost optimization efforts across Snowflake, Matillion, and related cloud technologies. Data Governance, Security & Compliance Contribute to and help operationalize scalable data governance practices. Ensure compliance with data privacy and security standards (e.g., FERPA, GDPR) within a higher education context. Promote high standards of data quality, documentation, and operational reliability. Strategic Partnership & Technical Leadership Partner with stakeholders across Engineering, Online Learning, XR, and other teams to translate complex business needs into resilient technical solutions. Mentor and support other data engineers, fostering a culture of rigor, collaboration, and continuous improvement. Evaluate and thoughtfully incorporate emerging technologies, including AI-enabled tools, into engineering workflows. Bachelor's degree required. Degree in Computer Science, Data Engineering, Information Systems, or a related field preferred. 5+ years of progressively responsible experience in data engineering, data architecture, or related technical roles. Expert-level knowledge of dimensional modeling (Star and Snowflake schemas) and data warehousing best practices. Deep 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 systems. Strong problem-solving, collaboration and stakeholder engagement skills. Ability to independently lead technical initiatives from design through deployment and manage multiple projects using tools like Asana.

Please Note:

This is a 5 year term limited position with the possibility of renewal depending on funding. Candidates must have legal authorization to work in the United States. The 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 salary for this position will be based upon the selected candidate's education and experience. Excellent benefits are available, for details, see http://benefits.umich.edu/ Salary Information 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. Organizational Statement on Harassment We believe all individuals deserve to be treated with respect and dignity and have the right to work in a professional atmosphere that promotes mutual respect and a safe space for collaboration. Any concerns shared with any staff members and student employees in the Center for Academic Innovation will be reported to the Equity, Civil Rights, & Title IX Office to be reviewed and addressed, and the Center for Academic Innovation encourages reporting of any forms of harassment including sexual and gender-based harassment. The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act. Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled anytime after the minimum posting period has ended. The University of Michigan is an equal employment opportunity employer.