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’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
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 by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order 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.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
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To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.