Director of Vertical Data Engineering Job at DoorDash (San Francisco, CA)

Job Description

Data is at the core of DoorDash success. The Vertical Data Engineering org builds data solutions across a wide range of use cases including producer operations and intelligence, B2B reporting and data exchange, campaign optimization, and growth. By building reliable pipelines, scalable data models, and modern warehouse architectures, this team serves as the foundation for decision-making across business verticals. DoorDash is looking for a Director of Vertical Data Engineering to lead the transformation of data engineering into an AI-ready data product organization.

Job Responsibility

Work with tech leaders to design/build right architectural patterns, frameworks and data governance practices to set strategic direction for data engineering at Doordash
Work with upstream data producers, product managers, business stakeholders and lead vertical data engineering teams to collect right data and build foundational data models/solutions
Define the vision for AI-powered and self-serve analytics experiences that accelerate decision-making at scale across the organization
Own Data quality and reliability outcomes for data pipelines and data products
Partner with platform engineering to build tooling that enables engineers and analysts to move faster— through automated observability, self-service access, and Data-as-a-Product principles
Lead annual and quarterly planning cycles to set long-term vision and near-term execution goals for your organization
Hire top talent to grow and nurture vertically aligned data engineering teams
Implement Data Contracts to enforce schema stability and quality automation, ensuring high-trust data for upstream AI/ML models
Accelerate GenAI and Agentic workflows by ensuring data accessibility, lineage, and contextual metadata availability
Partner with legal, privacy, and security teams to ensure data governance, compliance, and access controls meet organizational and regulatory requirements.

Requirements

10+ years of experience in data engineering, backend systems, business intelligence, or related data functions
6+ years of hands-on management experience, with a proven track record of building and growing large teams and managing through senior leaders and managers
Exceptional communication and leadership skills, with a proven ability to operate in a fast moving environment
Hands-on approach to closing gaps in data foundations and technical execution, reinforcing development standards and best practices that guarantee high quality, trustworthy data
Strong understanding of data related security and governance/controls
Prior experience with Data Warehouse or Data Lake solutions similar to Snowflake/Redshift, Cloud environments similar to AWS/GCP, Big Data solutions similar to Hadoop/Spark, Realtime Streaming solutions similar to Kafka/Flink
Knowledge of advanced visualization tools such as Tableau, Superset and Looker
Experience with AI-native data infrastructure, such as Feature Stores, Vector DBs, or LLM-integrated data pipelines
Proven track record of managing data platforms at scale, utilizing strategies like automated testing, CI/CD for data, and self-service dashboards to support high-growth teams
Strong understanding of Data Contract frameworks and strategies for managing heterogeneous data at scale.

What we offer

401(k) plan with employer matching
16 weeks of paid parental leave
wellness benefits
commuter benefits match
paid time off and paid sick leave
medical, dental, and vision benefits
11 paid holidays
disability and basic life insurance
family-forming assistance
mental health program
flexible paid time off/vacation for salaried roles
80 hours of paid sick time per year for salaried roles

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Director of Vertical Data Engineering

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