Engineering Manager, Data Foundations - Analytics Engineering

DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands.

To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash.

DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment.

• You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams.


• You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability.


• You strive for continuous improvement of data architecture and development process.


• You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into easy to use data assets and reusable components.


• You are excited about cross collaboration with stakeholders, external partners and peer data leaders.


• You are a planner and executioner. You know the tools to plan for short term and long term team and stakeholder success.


• You think of reliability and quality as must have.

• B.S., M.S., or PhD. in Computer Science or equivalent.


• 10+ years of experience working in data engineering or a related domain.


• 3+ years of hands-on management experience.


• Experience in hiring and growing diverse teams.


• Exceptional communication and leadership skills, with a proven ability to operate in a fast moving environment.


• Experienced with performance management, coaching, mentoring and growing teams.


• Hands-on approach to closing gaps in data infrastructure, BI tools and technical execution.


• Prior experience with Snowflake/Spark/Trino.


• Prior experience with large scale batch/real time ETL orchestration.


• Prior experience in Analytics Engineering and Business Intelligence.


• Familiarity with Datalake solutions such as Delta Lake, Apache Iceberg.


• Familiarity with a cloud based environment such as AWS.