Engineering Manager, Data

ata 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'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, 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

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About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

If you need any accommodations, please inform your recruiting contact upon initial connection.