Engineering Manager, Data

About The Team

DoorDash is a data-driven organization that relies on timely, accurate, and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization, and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands.

About The Role

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.

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

Qualifications

• 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 - built meaningful big data processing systems at scale, 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

Skills

• Building systems directly powering online applications
• Exposure to various databases such as CockroachDB, Cassandra, and PostgreSQL

Benefits

DoorDash offers a comprehensive benefits package to all regular employees, including:

• 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

Pay

The national base pay range for this position within the United States, including Illinois and Colorado, is $193,800—$285,000 USD.

Schedule

The position is a hybrid role and requires the candidate to be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA.