The Data Platform team at DoorDash is responsible for designing and operating scalable data frameworks that support the company's analytical needs. This role focuses on building high-scale systems that ensure reliability, scalability, and cost efficiency while promoting real-time insights and data analytics. The team works with technologies such as Spark, Flink, and Kafka to enhance data workflows for engineers and analysts. Candidates must be located in specific cities including San Francisco, Seattle, or New York.

• B.S., M.S., or PhD. in Computer Science or equivalent.
• 2+ years of industry experience in software engineering.
• Proficiency in using AI coding tools in the full software development lifecycle.
• Experience working on big data domains and promoting real-time insights using technologies such as Apache Kafka, Flink, and Spark.
• Prior technical experience in Big Data infrastructure and governance.

• Drive vision and strategy for building scalable data frameworks.
• Scale the analytical platform to handle increasing amounts of data and use cases.
• Collaborate with stakeholders to build solutions on top of the data platform.
• Foster a positive and supportive work culture within the team.