Engineering Manager – Data Mobility Ingestion
| Company | DoorDash |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, Sunnyvale, CA, USA |
| Salary | $193800 – $285000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
- 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