Engineering Manager, Data

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ABOUT THE TEAM

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.

ABOUT THE ROLE

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 must be located in San

Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position.

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 or a related domain

* 2+ years of hands-on management experience

* Experience hiring and growing teams

* Exceptional communication and leadership skills, with a proven ability to

operate in a fast moving environment

* Experienced with performance management, coaching, mentoring and growing

teams

* Hands-on approach to closing gaps in data infrastructure and technical

execution, able to code in SQL and Python

* Prior experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data,

Lambda/KAPPA architectures, Flink/Airflow

* Prior experience with large scale batch/real time ETL orchestration

* Prior experience in Systems Engineering - you've built meaningful big data

processing systems at scale, and experience with big data compute engines

such as Apache Spark and Apache Flink

* Familiarity with Datalake solutions such as Delta Lake, Apache Iceberg

* Familiarity with a cloud based environment such as AWS

* 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

ABOUT THE TEAM

The Storage teams build and operate online stateful systems and abstractions

that are reliable, efficient, secure and easy to use for DoorDash Engineering.

The teams are responsible for understanding Product Engineering’s evolving needs

and developing platform and infrastructure capabilities to serve them. The team

currently supports CockroachDB, Cassandra, Kafka and Redis as well as data

abstraction services to reduce the complexity of interacting with storage

systems for Product Engineers.

ABOUT THE ROLE

We’re hiring a Data Solutions Engineer with deep expertise in distributed

databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic

abstractions.

In this role, you will

• design, optimize, and scale distributed
• data access layers that power DoorDash’s most critical systems, ensuring high
• availability, low latency, and fault tolerance.
• You’ll serve as a hands-on architect and technical partner to product
• engineering and infrastructure teams, helping translate complex business
• requirements into resilient and scalable data models. Your work will directly
• influence the evolution of Taulu, DoorDash’s unified storage abstraction layer,
• by shaping best practices and identifying platform gaps through real world
• engagements.
• This is a high-impact, cross functional role that combines deep technical
• expertise with a customer centric approach. You’ll lead solutioning engagements
• from design through production, drive the adoption of Taulu modeling best
• practices, and ensure that our systems meet goals around reliability, cost
• efficiency, and velocity. You must be located in San Francisco, Sunnyvale,
• Seattle or New York for this hybrid opportunity.
• YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…
• * Design and implement highly scalable, fault tolerant distributed database
• solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path
• storage solutions.
• * Architect and optimize multi-region, globally distributed systems to meet our
• high standards for availability, latency, and throughput.
• * Lead data modeling, performance tuning, and capacity planning for
• large-scale, mission-critical storage workloads.
• * Partner with product engineering and infrastructure teams to deeply
• understand domain specific data needs and guide them in adopting paved path
• storage solutions.
• * Serve as the DRI for solutioning engagements, owning modeling in Taulu from
• experimentation through launch and scale.
• * Shape the evolution of Taulu by identifying abstraction gaps and converting
• customer feedback into platform improvements.
• * Apply workload-aware design patterns, including caching strategies,
• partitioning, and consistency tuning to improve performance and efficiency.
• * Drive adoption of operational best practices across observability, schema
• design, capacity planning, and cost optimization across storage systems.
• * Promote clarity and continuity by contributing to solutioning playbooks,
• decision logs, and architectural documentation.
• WE’RE EXCITED ABOUT YOU BECAUSE…
• * You have 10+ years of experience designing and scaling distributed data
• systems, with deep expertise in NoSQL technologies like Apache Cassandra,
• DynamoDB, or ScyllaDB.
• * You have a strong command of distributed system concepts such as replication,
• partitioning, tunable consistency, and failure recovery.
• * You’ve led data modeling efforts for high-throughput, low-latency workloads
• and understand the real-world trade-offs involved in NoSQL schema design.
• * You are experienced with caching technologies like Redis or Memcached and
• know how to layer them effectively over storage systems to optimize for
• performance and cost.
• * You have a customer-first mindset, and thrive when working closely with
• product and platform teams to translate complex requirements into clean,
• scalable data models.
• * You are skilled at communicating complex architecture decisions and building
• alignment across infrastructure and product engineering organizations.
• * You have a track record of mentoring engineers, influencing data architecture
• at scale, and fostering best practices in reliability, observability, and
• data access patterns.
• * You document decisions, share learnings, and take pride in contributing to
• reusable playbooks and durable frameworks for others to build upon.
• * Bonus: You’ve worked on or contributed to open-source distributed
• databases.
• Notice Regarding Use of AI and Automated Tools: To streamline our hiring
• process, DoorDash utilizes an automated recruitment tool called Gem.
• How it works: Gem assists our recruiting team by evaluating job related
• qualifications and characteristics in connection with hiring. The tool is
• designed and used to support - rather than replace - human decision-making;
• trained personnel make final decisions with meaningful human review and
• oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner
• that has the effect of subjecting applicants or employees to discrimination
• based on any protected characteristic or proxy or for engaging in any protected
• activity under applicable law.
• Data Retention, Privacy & Bias Audit: Data collected during this process is
• retained in accordance with our Candidate Privacy Policy
• [https://help.doordash.com/en-us/legal/article/ax-privacy-notice] and applicable
• state laws. In compliance with New York City Local Law 144, the independent bias
• audit summary for Gem is publicly available for review at our Careers Page
• [https://careersatdoordash.com/wp-content/uploads/2026/06/Gem-BABL-Bias-Audit-Results-2-1.pdf].
• Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With
• Office in NYC Only
• We use Covey as part of our hiring and/or promotional process for jobs in NYC
• and certain features may qualify it as an AEDT in NYC. As part of the hiring
• and/or promotion process, we provide Covey with job requirements and candidate
• submitted applications. We began using Covey Scout for Inbound
• [https://getcovey.com/product/covey-scout-inbound] from August 21, 2023, through
• December 21, 2023, and resumed using Covey Scout for Inbound
• [https://getcovey.com/product/covey-scout-inbound] again on June 29, 2024.
• The Covey tool has been reviewed by an independent auditor. Results of the audit
• may be viewed here: Covey [https://getcovey.com/nyc-local-law-144]

Compensation

The successful candidate’s starting pay will fall within the pay range listed

below and is determined based on job-related factors including, but not limited

to, skills, experience, qualifications, work location, and market conditions.

Base salary is localized according to an employee’s work location. Ranges are

market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes

opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That’s why we offer a

comprehensive benefits package to all regular employees, which includes a 401(k)

plan with employer matching, 16 weeks of paid parental leave, wellness benefits,

commuter benefits match, paid time off and paid sick leave in compliance with

applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash

also offers medical, dental, and vision benefits, 11 paid holidays, disability

and basic life insurance, family-forming assistance, and a mental health

program, among others.

To learn more about our benefits, visit our careers page here

[https://careers.doordash.com/].

See below for paid time off details:

* For salaried roles: flexible paid time off/vacation, plus 80 hours of paid

sick time per year.

* For hourly roles: vacation accrued at about 1 hour for every 25.97 hours

worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4

hours/month if working 20 hours/week), and paid sick time accrued at 1 hour

for every 30 hours worked (e.g. about 5.8 hours/month if working 40

hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States,

including Illinois and Colorado.

$193,800—$285,000 USD

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 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.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With

Office in NYC Only

We used Covey as part of our hiring and/or promotional process for jobs in NYC

and certain features may qualify it as an AEDT in NYC. As part of the hiring

and/or promotion process, we provided Covey with job requirements and candidate

submitted applications. We began using Covey Scout for Inbound from August 21,

2023, through December 21, 2023. We resumed using Covey Scout for Inbound again

on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.

The Covey tool has been reviewed by an independent auditor. Results of the audit

may be viewed here: https://getcovey.com/nyc-local-law-144

[https://getcovey.com/nyc-local-law-144].