Engineering Manager, Data
AI summary of the role
DoorDash is hiring a Data Engineering Manager to lead a team building enterprise-scale data solutions that power business and product decisions.
What you’ll do
- Hire, build, grow, and nurture impactful business-focused data teams
- Drive the technical and strategic vision for embedded pods and foundational enablers to meet scale and interoperability needs
- Continuously improve data architecture and development processes
- Break down large systems into easy-to-use data assets and reusable components
What you’ll bring
- 10+ years of experience in data engineering or related domain
- 2+ years of hands-on management experience
- Experience hiring and growing teams
- Able to code in SQL and Python
Technologies
Snowflake · Redshift · AWS · GCP · Hadoop · Spark · Flink · Airflow · Delta Lake · Apache Iceberg · SQL · Python
About DoorDash
Three-sided local-commerce marketplace connecting consumers, merchants, and Dashers for on-demand delivery of food, groceries, and retail goods.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Team 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. About the Role DoorDash is looking for a Data Engineering Manager to
More from the job description
About the Team 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. About the Role 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 succe [... source excerpt omitted ...] a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… 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 ab [... source excerpt omitted ...] mated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy &
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