Job
Description
About the Team As a part of the DoorDash organization, you will be joining a data-driven team that values timely, accurate, and reliable data to make informed business and product decisions. Data serves as the foundation of DoorDash's success, and the Data Engineering team is responsible for building database solutions tailored to various use cases such as reporting, product analytics, marketing optimization, and financial reporting. By implementing robust data structures and data warehouse architecture, this team plays a crucial role in facilitating decision-making processes at DoorDash. Additionally, the team focuses on enhancing the developer experience by developing tools that support the organization's high-velocity demands. About the Role DoorDash is seeking a dedicated Data Engineering Manager to lead the development of enterprise-scale data solutions. In this role, you will serve as a technical expert on all aspects of data architecture, empowering data engineers, data scientists, and DoorDash partners. Your responsibilities will include fostering a culture of engineering excellence, enabling engineers to deliver reliable and flexible solutions at scale. Furthermore, you will be instrumental in building and nurturing a high-performing team, driving innovation and success in a dynamic and fast-paced environment. In this role, you will: - Lead and manage a team of data engineers, focusing on hiring, building, growing, and nurturing impactful business-focused data teams. - Drive the technical and strategic vision for embedded pods and foundational enablers to meet current and future scalability and interoperability needs. - Strive for continuous improvement of data architecture and development processes. - Balance quick wins with long-term strategy and engineering excellence, breaking down large systems into user-friendly data assets and reusable components. - Collaborate cross-functionally with stakeholders, external partners, and peer data leaders. - Utilize effective planning and execution tools to ensure short-term and long-term team and stakeholder success. - Prioritize reliability and quality as essential components of data solutions. Qualifications: - Bachelor's, Master's, or Ph.D. in Computer Science or equivalent field. - Over 10 years of experience in data engineering, data platform, or related domains. - Minimum of 2 years of hands-on management experience. - Strong communication and leadership skills, with a track record of hiring and growing teams in a fast-paced environment. - Proficiency in programming languages such as Python, Kotlin, and SQL. - Prior experience with technologies like Snowflake, Databricks, Spark, Trino, and Pinot. - Familiarity with the AWS ecosystem and large-scale batch/real-time ETL orchestration using tools like Airflow, Kafka, and Spark Streaming. - Knowledge of data lake file formats including Delta Lake, Apache Iceberg, Glue Catalog, and S3. - Proficiency in system design and experience with AI solutions in the data space. At DoorDash, we are dedicated to fostering a diverse and inclusive community within our company and beyond. We believe that innovation thrives in an environment where individuals from diverse backgrounds, experiences, and perspectives come together. We are committed to providing equal opportunities for all and creating an inclusive workplace where everyone can excel and contribute to our collective success.,
