About the Team

DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Data Platform owns all the infrastructure necessary to run an operationally efficient analytical data stack. The Core Data part of this includes data ingestion (batch and real time), data compute & transformation, data storage (warehouse, data lake, OLAP etc.), querying infrastructure as well as data compliance, quality and governance. The other areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.

About the Role

As a Senior Staff engineer, you will be responsible for the most critical long term technical roadmap of the organization. You will use your skills and experience in guiding the engineers and the management leadership on the right technical choices, mentor several senior engineers and hold a high bar of technical competency. You will report into the Director of Engineering, Data Platform as part of our Data organization in Engineering.. Once our offices reopen, we expect this role to be [100% in-office, hybrid with some time in-office and some time remote, 100% remote].

You’re excited about this opportunity because you will…

• Build data intensive solutions that are used by DoorDash engineers, data scientists, analysts or business users from across the company. Drive and deliver the ongoing product vision of data products.
• Think in terms of building data products and not systems. You excel at driving the engineering vision, strategy, and execution for an organization consisting of multiple teams and sub teams.
• You are a technology leader. You excel at mentoring and guiding a fast growing organization in setting the right architectural patterns, handling build vs buy decisions, working with various vendors in the data solutions space, making judicious investments in the right areas anticipating what the company needs a few years down the road.
• You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into manageable, sustainable components that can be iterated on.
• You strive for continuous improvement of data architecture and development process. 
• You are excited about cross collaboration with stakeholders, external partners and peer data leaders.
• You love rolling up your sleeves to get down to the lowest level of detail.

We’re excited about you because…

• You have extensive experience building and operating scalable, fault-tolerant, distributed systems in the area of large scale data intensive applications.
• You have experience building data products and abstractions on top of infrastructure (such as Metrics Server, Realtime Job Processing applications, Self-serve platforms for forecasting, experimentation frameworks, deriving data-driven insights etc.)
• You have experience with a range of data and machine learning technologies in the area of large scale data processing, complex/high volume ML models etc. The following areas are representative of the breadth of data technologies in which familiarity would be optimal (Experience with these specific technologies or similar alternatives is not required but helpful)
• Backend service and tool development in Golang, Kotlin and/or Python
• AWS
• Kubernetes, Docker, Kops, Helm
• Apache Kafka, Apache Flink, Apache Spark, Trino (Presto), Apache Airflow/Dagster, Apache Superset, AWS S3, Snowflake, Amplitude, CDP (e.g. Segment.com), MLLib, Pytorch, Tensorflow, Databricks MLFlow etc.

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 including premium healthcare, wellness expense reimbursement, paid parental leave and more.

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.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

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