Top Data Engineering Manager Jobs

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

Lead product management for Lakeflow, impacting data engineering across Databricks' product portfolio. Manage the full product life cycle and collaborate with technical teams.

As a Data Engineering Manager, you will lead a team of data engineers to manage workflows, drive strategic initiatives, and ensure project delivery while aligning team goals with company objectives.

Support development and maintenance of data engineering solutions tailored for Unilever, ensuring data quality and facilitating analytics and reporting.

Lead the architecture and delivery of enterprise data platforms, optimize data pipelines, enable AI/ML use cases, engage clients on technical strategy, and develop the data platform team.

Lead data engineering projects, manage data teams, enhance data governance, develop data quality capabilities, and optimize cloud data strategy at Navy Federal Credit Union.

The Engineering Manager will lead a team of software engineers, collaborating with data scientists and geologists to build robust data systems for mineral exploration. Responsibilities include planning and prioritizing projects, coaching team members, and contributing as an individual on critical tasks.

This role involves leading the Data & AI team, building modern data platforms using Microsoft technologies, overseeing project delivery, and mentoring team members while engaging with clients.

The Manager for Data Engineering will lead the Data & AI team, focusing on building modern data platforms, providing mentorship, and overseeing project delivery using Microsoft technologies.

Lead the Financial Data Quality team, ensuring data consistency and accuracy across billing and finance systems. Collaborate with stakeholders to define data needs and build reliable outputs, while managing a team of software and data engineers.

Lead a team of engineers in managing and optimizing data infrastructure. Responsibilities include mentoring, agile delivery, operational excellence, and executing the company's data strategy.