Top Data Engineering Manager Jobs

The Engineering Manager for Data Products will lead a team of engineers in building data analysis products, ensuring high-quality delivery, and fostering collaboration in a remote work environment.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.

Oversee, guide, and mentor teams in building unified data access and event-driven architectures, ensuring high reliability and performance standards while managing engineering talent and fostering a collaborative culture.

The Engineering Manager will oversee a team managing cloud data engineering projects, client engagement, and technical leadership, ensuring successful delivery and mentorship.

Manage the Analytics team, leading AI-driven data architecture, building scalable pipelines, establishing governance frameworks, and mentoring data engineers to enhance analytics capabilities.

Lead a team to optimize Caribou's data platform, ensuring high-quality data assets, improving GCP infrastructure, and mentoring engineers.

Lead and develop scalable cloud-based data engineering solutions, including data models and pipelines while ensuring data quality and governance standards.

The Engineering Manager will lead the Data Platform team, overseeing the creation of a digital replica of the electricity networks and guiding the development of autonomous systems, while also managing and mentoring team members.

Lead and grow an engineering squad to design, build, and operate the customer data platform. Own architecture, integrations, data governance, delivery practices, hands-on technical leadership, and cross-functional collaboration to enable scalable, secure, real-time customer data products.

Manage data engineering functions, including the development and deployment of data processing technologies for analytics and machine learning, while leading a team and maintaining system performance.

Manage and lead a distributed team in delivering scalable data platforms for enterprise customers, driving strategy, design, and operational excellence.

Lead and manage engineering teams to develop AI-first product experiences, driving innovation and team growth, ensuring quality execution.

Lead a team of engineers in developing offline perception algorithms and data mining tools to produce high-quality data for autonomous driving.

The Sr. Engineering Manager leads a team of engineers to develop and manage data contracts and schema standards, focusing on scalable, reliable integrations and influencing enterprise data strategies.

The Engineering Manager will lead the Customer Data Platform team at Postscript, managing engineers, developing data infrastructure, and ensuring successful product delivery by collaborating with stakeholders.

The Manager of Data Engineering will lead modernization efforts, optimize the Snowflake environment, manage a hybrid team, and drive data strategy and execution.

Manage a team of data engineers, collaborate with product and analytics teams, set technical direction, and ensure data quality and compliance.

The Senior Manager, Data Engineering will lead cloud-based data architecture design, manage data pipelines, ensure data governance, and mentor junior staff while collaborating with various teams.

Lead a team of senior ML Engineers in impactful AI/ML projects, focusing on healthcare technology and team development.

Lead the data engineering team, develop data platform strategies, ensure data reliability, and mentor engineers in a fintech environment.

Lead the strategy and governance of the data platform, ensuring its stability and adoption for impactful analytics. Oversee team management, platform architecture, and operations while fostering collaboration across business stakeholders and technical teams.

Lead and manage Kraken's data platform team, focusing on building scalable real-time streaming infrastructure and automation for data workflows.

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.