Engineering Manager, Data
Doordashusa
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Benefits offered by this job
Job summary
Doordashusa is seeking a Data Engineering Manager based in San Francisco, CA. In this role, you will guide the development of enterprise-scale data solutions, acting as a technical expert and fostering an engineering culture of excellence.
You will be responsible for building and nurturing a high-performing data engineering team while driving innovation and success. Ideal candidates have extensive experience in data engineering and management, with strong communication skills.
Qualifications
- 10+ years of experience working in data engineering or a related domain.
- 2+ years of hands-on management experience.
- Hands-on approach to closing gaps in data infrastructure.
Responsibilities
- Guide the development of enterprise-scale data solutions.
- Foster an engineering culture of excellence.
- Drive innovation in a fast-paced environment.
Skills
Education
Tools
Job description
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.
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 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
- 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
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.
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.
- 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.
- 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.
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).
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.
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.
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 also strive to prevent other subtler forms of inappropriate behavior such as stereotyping. We welcome people of all backgrounds and identities to apply.
DoorDash is an equal opportunity employer. We will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with applicable regulations.
If you need any accommodations, please inform your recruiting contact upon initial connection.
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