Engineering Manager, Data & AI

À propos de l'équipe

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.

A propos du poste

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.

Vous êtes enthousiaste à l'idée de saisir cette opportunité car vous...

• 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

Vous nous intéressez parce que vous avez...

• B.S., M.S., or PhD. in Computer Science or equivalent
• 10+ years of experience working in data engineering, data platform or a related domain
• 2+ years of hands-on management experience
• Exceptional communication and leadership skills, experience hiring and growing teams with a proven ability to operate in a fast moving environment
• Experienced with performance management, coaching, mentoring and growing teams
• Familiar with programming languages Python/Kotlin and SQL
• Prior experience with Snowflake/Databricks/Spark/Trino/Pinot
• Prior experience with AWS ecosystem and large scale batch/real time ETL orchestration using Airflow, Kafka, Spark Streaming,etc. 
• Familiarity with various data lake file formats such as Delta Lake, Apache Iceberg, Glue Catalog, S3,etc
• 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
• Proficient in system design and with a strong understanding and application of AI solutions in data space

Avis aux candidats à des emplois situés à New York ou à des emplois à distance associés à un bureau situé à New York uniquement

Nous utilisons Covey dans le cadre de notre processus d'embauche et/ou de promotion pour des emplois à New York et certaines caractéristiques peuvent le qualifier d'AEDT à New York. Dans le cadre du processus d'embauche et/ou de promotion, nous fournissons à Covey les exigences du poste et les candidatures soumises par les candidats. Nous avons commencé à utiliser Covey Scout for Inbound du 21 août 2023 au 21 décembre 2023, et avons recommencé à utiliser Covey Scout for Inbound le 29 juin 2024.

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