Director of Vertical Data Engineering

DoorDash, Inc

Quick summary

Work type: On-site
Location: San Francisco, CANew York, NYSeattle, WA
Salary: $268,600–$395,000 / yr
Posted: today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $332k

$125k most similar roles pay here $424k

This role pays more than 98% of similar roles. Most pay $157,200–$223,750 — the shaded band above. At the midpoint, this role pays about $332k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 238 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 147 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Director of Vertical Data Engineering

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As the Director of Vertical Data Engineering at DoorDash, you will lead a transformational shift towards an AI-ready data product organization, partnering with ML platform teams and Product engineering to architect advanced data fabrics and feature stores. Your day-to-day responsibilities include designing scalable data models, ensuring data quality and reliability, and building tooling that enables self-service analytics through automated observability and Data-as-a-Product principles. You will hire top talent and manage large teams across multiple business departments, implementing robust data governance practices and enforcing schema stability with Data Contracts. This role requires extensive experience in data engineering, backend systems, and cloud environments like AWS/GCP, as well as proficiency in tools such as Snowflake, Redshift, Hadoop/Spark, Kafka/Flink, and advanced visualization platforms like Tableau or Looker. Your work will significantly impact DoorDash’s ability to leverage AI and self-service analytics at scale, driving decision-making across the organization.

Skills

Snowflake AWS GCP Hadoop Spark Kafka Flink Tableau Superset Looker Feature Stores Vector DBs CI/CD Data Contracts Python SQL

What you'll do

Design and build architectural patterns, frameworks, and data governance practices for DoorDash’s data engineering.
Lead vertical data engineering teams to collect and model data for various business use cases.
Define a vision for AI-powered analytics experiences that accelerate decision-making across the organization.
Ensure data quality and reliability outcomes for all data pipelines and products.
Partner with platform engineering to develop tooling enabling faster movement for engineers and analysts.
Implement Data Contracts to enforce schema stability and automate quality checks for high-trust data.

What we're looking for

10+ years of experience in data engineering or related fields.
Proven track record of building and managing large teams with senior leaders.
Strong hands-on experience with Data Warehouse solutions like Snowflake/Redshift.
Expertise in AI-native data infrastructure, including Feature Stores and Vector DBs.
Deep understanding of data security, governance, and compliance requirements.
Experience with advanced visualization tools such as Tableau and Looker.
Proven ability to manage data platforms at scale using CI/CD for data practices.

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