Senior Data Platform Engineer — Scale & Impact

DoorDash ANZ; San Francisco (CA); On-site; USD 131,000 - 285,000; Full time

Benefits offered by this job

Equity grants

401(k) plan with employer matching

Parental leave (16 weeks)

Wellness benefits

Commuter benefits match

Paid time off

Paid sick leave

Medical, dental, and vision

Holidays

Disability insurance

Life insurance

Family-forming assistance

Mental health program

Job summary

DoorDash is seeking a data platform engineer to help design, deploy and operate scalable data infrastructure for analytics, real-time insights, and personalization. You will join a team that owns ingestion, governance, and compute frameworks to support business-critical decisions.

The role emphasizes reliability, cost efficiency, and collaboration with engineers, analysts, and ML practitioners across multiple geographies. Relocation to Bay Area/NYC/Seattle may be required.

Qualifications

• Must have strong background in big data, streaming and batch analytics.
• Experience building and operating high-scale data platforms.
• Knowledge of data governance, privacy and compliance standards.

Responsibilities

• Define and drive the data platform strategy and roadmap.
• Scale the analytical platform to handle growing data and use cases.
• Collaborate with engineers, analysts and ML teams to enable insights.
• Improve efficiency, reliability, and cost effectiveness of data infra.

Skills

Big data experience

Reliability & scalability

Data platform ownership

Collaboration with stakeholders

Education

BS/MS/PhD in Computer Science or equivalent

Tools

Apache Kafka

Flink

Spark

Airflow

Iceberg

Cassandra

ClickHouse

Job description

DoorDash is seeking a data platform engineer to help design, deploy and operate scalable data infrastructure for analytics, real-time insights, and personalization. You will join a team that owns ingestion, governance, and compute frameworks to support business-critical decisions.

The role emphasizes reliability, cost efficiency, and collaboration with engineers, analysts, and ML practitioners across multiple geographies. Relocation to Bay Area/NYC/Seattle may be required.