Engineering Manager, DataDoorDash 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 teamsYou 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 interoperabilityYou strive for continuous improvement of data architecture and development processYou 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 componentsYou are excited about cross collaboration with stakeholders, external partners and peer data leadersYou are a planner and executioner.
You know the tools to plan for short term and long term team and stakeholder successYou think of reliability and quality as must haveWe're excited about you because you have…B.S., M.S., or PhD. in Computer Science or equivalent10+ years of experience working in data engineering or a related domain2+ years of hands-on management experienceExperience hiring and growing teamsExceptional communication and leadership skills, with a proven ability to operate in a fast moving environmentExperienced with performance management, coaching, mentoring and growing teamsHands-on approach to closing gaps in data infrastructure and technical execution, able to code in SQL and PythonPrior experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data, Lambda/KAPPA architectures, Flink/AirflowPrior experience with large scale batch/real time ETL orchestrationPrior 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 FlinkFamiliarity with Datalake solutions such as Delta Lake, Apache IcebergFamiliarity with a cloud based environment such as AWSExperience with these specific technologies is not required but helpfulBuilding systems directly powering online applicationsExposure to various databases such as CockroachDB, Cassandra, and PostgreSQL