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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.

Responsibilities

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.

Requirements

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.

Skills

Distributed databases
Apache Cassandra
Redis
Kafka
Database agnostic abstractions
Distributed data access layers
High availability
Low latency
Fault tolerance
Taulu
NoSQL technologies
Apache Cassandra
DynamoDB
ScyllaDB
Distributed system concepts
Replication
Partitioning
Tunable consistency
Failure recovery
High-throughput workloads
Low-latency workloads
NoSQL schema design
Caching technologies
Redis
Memcached
Observability
Schema design
Capacity planning
Cost optimization
Solutioning playbooks
Decision logs
Architectural documentation

Location

San Francisco
Sunnyvale
Seattle
New York

Work Type

Hybrid

Experience Level

10+ years of experience designing and scaling distributed data systems

Salary/Compensations

$203,500—$299,300 USD

Benefits

401(k) plan with employer matching
16 weeks of paid parental leave
Wellness benefits
Commuter benefits match
Paid time off
Paid sick leave
Medical benefits
Dental benefits
Vision benefits
11 paid holidays
Disability and basic life insurance
Family-forming assistance
Mental health program
Flexible paid time off/vacation (for salaried roles)
80 hours of paid sick time per year (for salaried roles)

About the Company

DoorDash’s mission is to empower local economies. With AI, we believe there’s a huge opportunity to leverage agentic technology to help businesses grow their sales, to create more personalized experiences for our customers, to make our logistics system even more efficient.
We have an applied AI research lab at DoorDash, which is a team that is small, highly motivated, and focused on engineering excellence. This team is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat structure - everyone is expected to be hands-on and contribute directly to the mission. Initiative and consistent delivery are how people grow and lead here.
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.
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.

Equal Opportunity

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.