About the Team
Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.
About the Role
The Data Governance Platform team's mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process. The team is relatively small, so there's an opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Governance Platform Engineering Manager. You must be located in the Bay Area or Seattle for this hybrid role.
You're excited about this opportunity because you will…
- Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics.
- Help accelerate the adoption of the data discovery platform by building integrations across online analytics platforms and promoting self-serve.
- Come up with solutions for scaling data systems for various business needs.
- Collaborate in a dynamic startup environment.
We're excited about you because…
- B.S., M.S., or PhD. in Computer Science or equivalent.
- 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python.
- You are located or are willing to locate to the Bay Area or Seattle.
- Prior technical experience in Big Data infrastructure & governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink.
- Experience improving efficiency, scalability, and stability of data platforms.