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 organizations 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, youll 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 Are...
• A people leader. You thrive in hiring, building, growing and nurturing impactful business-focused data teams. • 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. • Strive for continuous improvement of data architecture and development process. • Think of quick wins while planning for long-term strategy and engineering excellence. • Excited about breaking down large systems into easy-to-use data assets and reusable components. • Excited about cross collaboration with stakeholders, external partners, and peer data leaders. • A planner and executioner. You know the tools to plan for short-term and long-term team and stakeholder success. • Think of reliability and quality as must-haves.
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 - youve 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
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