Engineering Manager, Data Mobility Ingestion

DoorDash; San Francisco (CA); On-site; USD 193,000 - 285,000; Full time

Job summary

An established industry player is seeking an Engineering Manager for their Data Mobility Ingestion team. In this strategic role, you will lead the development of a cutting-edge data ingestion platform, unifying real-time and near-realtime data movement. Your leadership will shape the technical direction while fostering a culture of excellence and innovation. This is a unique opportunity to influence the evolution of data ingestion at a company poised for global expansion. If you are passionate about big data and eager to mentor a talented team, this role offers a dynamic environment to make a significant impact.

Benefits

401(k) plan with employer matching

Paid time off

Paid sick leave

Medical benefits

Dental benefits

Vision benefits

Paid parental leave

Wellness benefit

Commuter benefit match

Mental health program

Qualifications

• 7+ years of industry experience with strong leadership skills.
• Experience in building big data processing systems at scale.

Responsibilities

• Lead the development of a next-generation data ingestion platform.
• Drive the roadmap for consolidating real-time and batch pipelines.

Skills

Big Data Processing

Systems Engineering

Technical Leadership

Data Ingestion

Real-time Analytics

Education

B.S. in Computer Science

M.S. in Computer Science

PhD in Computer Science

Tools

Apache Spark

Apache Flink

Kafka

AWS

Delta Lake

Apache Iceberg

Job description

Engineering Manager, Data Mobility Ingestion

San Francisco, CA; Sunnyvale, CA; Seattle, WA

About the Team

The Data Mobility Ingestion team at DoorDash plays a foundational role in powering real-time analytics, personalization, and operational intelligence across the company. We build and operate two critical platforms that move data at massive scale to the lakehouse:

Realtime Streaming Platform: Moves analytical events from DoorDash’s mobile and web clients in real time, processing over 50TB/day using a fully in-house managed Kafka and Flink ecosystem.

Near Realtime Transactional Platform: Ingests change data from online transactional databases to the lakehouse using Kafka and Spark Structured Streaming, moving over 100TB/day.

With international expansion and verticalized business growth on the horizon, the team is rearchitecting the ingestion stack to meet the scale and agility required for the next decade. We're also investing in developer experience, self-healing capabilities, cost-efficient architectures, and tiered platform offerings to make high-quality data ingestion seamless for all internal teams.

About the Role

As the Engineering Manager for the Ingestion team, you’ll lead the development of DoorDash’s next-generation data ingestion platform — one that unifies real-time and near-realtime data movement under a common compute foundation.

Your team will play a critical role in supporting cutting-edge use cases such as real-time personalization, while driving standardization, automation, and deep integration with the broader data platform ecosystem. You’ll influence the long-term technical direction and partner with other platform and business teams to ensure the ingestion stack evolves in lockstep with DoorDash’s global expansion and verticalized product strategy.

This is a highly strategic role, blending platform engineering with business context. You'll bring both technical depth and product vision to define the roadmap, ensure platform excellence, and empower a growing team of talented engineers to deliver 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…

• Define and drive the roadmap for DoorDash’s next-generation ingestion platform, consolidating real-time and batch pipelines under a unified, SLA-driven architecture.
• Build a tiered platform that balances performance, reliability, and cost-efficiency, enabling teams to scale data use cases from experimentation to production.
• Lead replatforming efforts to meet the demands of global scale, new business verticals, and real-time personalization needs.
• Shape the ingestion platform’s role within the broader data ecosystem, ensuring deep integration with quality, governance, lakehouse, and ML tooling.
• Partner with customers across product, engineering, ML, and analytics to deeply understand use cases and translate them into scalable platform capabilities.
• Foster a strong engineering culture grounded in technical excellence, ownership, and continuous learning.
• Mentor and grow a team of high-performing engineers, while contributing to recruiting and building a diverse, inclusive, and collaborative environment.

We’re excited about you because you have…

• B.S., M.S., or PhD. in Computer Science or equivalent.
• 7+ years of industry experience.
• 2+ years of experience in an engineering management role.
• 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.

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, paid time off and paid sick leave in compliance with applicable laws, 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

The base pay for this position ranges from our lowest geographical market up to our highest geographical market within the United States.

$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 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.

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. 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.

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.