Director of Vertical Data Engineering
at DoorDash
Location
San Francisco, CA; New York, NY; Seattle, WA
Compensation
$269k–$395k USD
Type
full time
Posted
2 days ago
Remote
Yes
Market range · function + seniority
$249k—$301k—$365k
p25 · target · p75 · n=465
Posted $395k · above the band
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Job description
About the Team
Data is at the core of DoorDash success. The Vertical Data Engineering org builds data solutions across a wide range of use cases including producer operations and intelligence, B2B reporting and data exchange, campaign optimization, and growth. By building reliable pipelines, scalable data models, and modern warehouse architectures, this team serves as the foundation for decision-making across business verticals.
About the Role
DoorDash is looking for a Director of Vertical Data Engineering to lead the transformation of data engineering into an AI-ready data product organization. You will partner with ML platform teams, Product engineering and Analytics to architect data fabrics, feature stores, and automated data contracts that accelerate GenAI development and democratize self-service analytics at scale. Your teams (managers and senior IC’s) will work across multiple business departments and be responsible for stewarding data from end-to-end. You will be partnering with Data Platform, Machine Learning, and Product engineering teams to create a bold vision and roadmap for how data powers products, analytics, ML and AI across DoorDash.
You’re excited about this opportunity because you will…
- Work with tech leaders to design/build right architectural patterns, frameworks and data governance practices to set strategic direction for data engineering at Doordash.
- Work with upstream data producers, product managers, business stakeholders and lead vertical data engineering teams to collect right data and build foundational data models/solutions.
- Define the vision for AI-powered and self-serve analytics experiences that accelerate decision-making at scale across the organization.
- Own Data quality and reliability outcomes for data pipelines and data products.
- Partner with platform engineering to build tooling that enables engineers and analysts to move faster— through automated observability, self-service access, and Data-as-a-Product principles.
- Lead annual and quarterly planning cycles to set long-term vision and near-term execution goals for your organization.
- Hire top talent to grow and nurture vertically aligned data engineering teams.
- Implement Data Contracts to enforce schema stability and quality automation, ensuring high-trust data for upstream AI/ML models.
- Accelerate GenAI and Agentic workflows by ensuring data accessibility, lineage, and contextual metadata availability.
- Partner with legal, privacy, and security teams to ensure data governance, compliance, and access controls meet organizational and regulatory requirements.
We’re excited about you because…
- 10+ years of experience in data engineering, backend systems, business intelligence, or related data functions.
- 6+ years of hands-on management experience, with a proven track record of building and growing large teams and managing through senior leaders and managers.
- Exceptional communication and leadership skills, with a proven ability to operate in a fast moving environment.
- Hands-on approach to closing gaps in data foundations and technical execution, reinforcing development standards and best practices that guarantee high quality, trustworthy data.
- Strong understanding of data related security and governance/controls.
- Prior experience with Data Warehouse or Data Lake solutions similar to Snowflake/Redshift, Cloud environments similar to AWS/GCP, Big Data solutions similar to Hadoop/Spark, Realtime Streaming solutions similar to Kafka/Flink.
- Knowledge of advanced visualization tools such as Tableau, Superset and Looker.
- Experience with AI-native data infrastructure, such as Feature Stores, Vector DBs, or LLM-integrated data pipelines.
- Proven track record of managing data platforms at scale, utilizing strategies like automated testing, CI/CD for data, and self-service dashboards to support high-growth teams.
- Strong understanding of Data Contract frameworks and strategies for managing heterogeneous data at scale.
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.
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.
$268,600—$395,000 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.
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