Data Engineer Senior

How to Apply

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).Who We Are About the Center for Academic Innovation Through curricular innovation, tools for student success, and educational research and analytics, the University of Michigan Center for Academic Innovation is building the future of education.

Our vision is a future in which education connects and empowers learners everywhere to reach their full potential throughout their lives. To realize our vision, we make it our mission to collaborate across campus and around the world to create equitable, lifelong educational opportunities for learners everywhere.

About the Data and Business Intelligence Team The Data and Business Intelligence Team within the Center for Academic Innovation (CAI) at the University of Michigan drives CAI's data strategy, ensuring that data is used responsibly, ethically, and securely. Our team of data engineers, scientists, and analysts powers internal operations and the Michigan Online platform by leveraging data as our universal language for analytics, insights and decision-making.

We strive to democratize access to data while upholding strong standards for governance, security, and privacy. Through collaboration and communities of practice, we share innovations, learn from peers, and help foster a culture of data-informed decision-making across CAI and the broader campus.

For more information, please visit our website:
Academic Innovation.

Responsibilities
* 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

What You'll DoThe 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.

Required Qualifications
* 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 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…