Data Engineer Lead

Women In Science; Ann Arbor (MI); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

University of Michigan in Ann Arbor is seeking a senior Data Engineer Leader to shape the data strategy and own architecture across reporting, analytics, AI/ML and operations.

You will architect end-to-end data warehousing, establish standards for dimensional modeling, and oversee cloud platforms like Snowflake and Databricks, while mentoring a growing team of engineers. Collaboration with campus stakeholders is essential for scalable, compliant data solutions.

Qualificações

• Experience leading data engineering teams in a complex environment.
• Proven ability to define data strategy and architecture.

Responsabilidades

• Own data strategy and architecture, guiding reporting, analytics, AI/ML, and operations.
• Architect end-to-end data warehousing solutions and integrate diverse sources.
• Set standards for dimensional modeling, pipeline design, and engineering best practices.
• Optimize cloud data platforms (Snowflake, Databricks) for scale, cost and reliability.
• Design and maintain scalable ELT frameworks and data pipelines.
• Direct and develop Data Engineers and Senior Data Engineers; mentor and coach.
• Establish scalable data governance with data quality, lineage, and access controls.
• Ensure FERPA/GDPR compliance within higher education data environments.
• Partner with engineering, learning, XR, and campus stakeholders to align on data strategy.
• Lead discovery with stakeholders and communicate to technical and non-technical audiences.
• Oversee service delivery and stakeholder engagement for high-impact data support.
• Evaluate emerging technologies, including AI-enabled tools, for adoption.

Conhecimentos

Data strategy

Data architecture

Leadership

Cross-functional collaboration

Data governance

Ferramentas

Snowflake

Databricks

Descrição da oferta de emprego

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

Contact Information

More Info

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

JAX,Florida

United States

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