Engineering Manager, Data
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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)
- medical, dental, and vision benefits
- 11 paid holidays
- disability and basic life insurance
- family-forming assistance
- a mental health program
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
