Demo

Data Engineer Lead

Women In Science
Ann Arbor, MI Full Time
POSTED ON 10/21/2026
AVAILABLE BEFORE 11/19/2026
University of Michigan

Ann Arbor, MI

Job posting number: #7372890

Posted: October 19, 2026

Application Deadline: Open Until Filled

Job Description

Responsibilities*

Data Strategy & Architecture Ownership

Evolve CAI's data architecture strategy to support reporting, analytics, AI/ML, and operational needs

Architect and oversee implementation of end-to-end data warehousing solutions integrating diverse institutional and platform data sources

Establish and enforce standards for dimensional modeling (e.g., Kimball methodology, Star and Snowflake schemas), pipeline design, documentation, and engineering best practices

Ensure cloud data platforms (e.g., Snowflake, Databricks) are optimized for scalability, reliability, cost efficiency, and long-term sustainability

Design and maintain complex ELT frameworks and scalable pipeline patterns

People Leadership & Team Development

Directly manage and mentor Data Engineers and Senior Data Engineers, including performance management, coaching, hiring, and career development

Foster a culture of shared ownership, technical excellence, and continuous learning

Provide technical guidance and architectural oversight across projects, ensuring high-quality delivery and consistency

Plan for team growth and capability development to support CAI's long-term data vision

Governance, Risk & Compliance

Establish and operationalize scalable data governance practices, including standards for data quality, metadata, lineage, and access controls

Ensure compliance with institutional and regulatory data privacy requirements (e.g., FERPA, GDPR) within a higher education environment

Promote strong data stewardship and responsible use of institutional and learner data

Cross-Functional Leadership & Strategic Alignment

Partner with Engineering, Online Learning, XR, and campus stakeholders to translate complex business and academic needs into cohesive data strategies and solutions

Lead discovery sessions with stakeholders and communicate effectively with both technical and non-technical audiences

Align team priorities with CAI's strategic objectives and contribute to roadmap planning within the data domain

Oversee service delivery and stakeholder engagement to ensure responsive, high-impact data support

Innovation & Community Engagement

Evaluate and thoughtfully incorporate emerging technologies, including AI-enabled tools, into engineering workflows and team practices

Co-lead or sponsor initiatives such as the BI AI Community of Practice and Data Hours to strengthen campus-wide data literacy and collaboration

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Job posting number: #7372890 Application Deadline: Open Until Filled Employer Location: Online Job Advertising

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