Engineering Manager, Data
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 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 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

We're excited about you because you have

• B.S., M.S., or PhD. in Computer Science or equivalent
• 10+ years of experience working in data engineering or a related domain
• 2+ years of hands-on management experience
• Experience hiring and growing 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 and technical execution, able to code in SQL and Python
• Prior experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data, Lambda/KAPPA architectures, Flink/Airflow
• Prior experience with large scale batch/real time ETL orchestration
• Prior experience in Systems Engineering - you've built meaningful big data processing systems at scale, and experience with big data compute engines such as Apache Spark and Apache Flink
• Familiarity with Datalake solutions such as Delta Lake, Apache Iceberg
• Familiarity with a cloud based environment such as AWS
• Experience with these specific technologies is not required but helpful
• Building systems directly powering online applications
• Exposure to various databases such as CockroachDB, Cassandra, and PostgreSQL

Compensation
The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

Salary Range: $193,800 - $285,000 USD