Tech Lead Manager, Data Engineer

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

This role follows a hybrid work schedule and reports to Sr. Staff TLM.

You will:

• Lead, mentor, and grow a team of data engineers responsible for the Waymo Commercialization Data Lake and associated data pipelines.


• Define and drive the technical vision, strategy, and roadmap for the Data Engineering team, aligning with Waymo's goals.


• Oversee the design, development, and operation of scalable and reliable data pipelines, data stores, and data models to ingest, process, and serve commercialization data.


• Establish and enforce best practices for data quality, governance, security, and performance optimization within the data ecosystem.


• Collaborate closely with Product Data Scientists, Engineering, and Operations teams to understand data needs, define requirements, and deliver robust data solutions.


• Foster a culture of engineering excellence, innovation, and continuous improvement within the team.

You have:

• BS/MS/PhD in Computer Science or a related field.


• 7+ years of experience in data engineering, software engineering, or a related role, with a focus on large-scale data systems.


• Proven experience (2+ years) in managing and leading engineering teams, including hiring, coaching, and performance management.


• Demonstrated technical leadership in designing, architecting, and delivering complex, large-scale data systems and pipelines, including setting technical direction, making key design trade-offs, and mentoring other engineers.


• Strong understanding of data warehousing concepts, data modeling, and ETL/ELT processes.


• Expertise in SQL and proficiency in at least one programming language such as Python, Java, or C++.

We prefer:

• Experience building and scaling data lakes or large-scale data platforms.


• Expertise with big data technologies and distributed systems (e.g., Spark, Flume, Kafka, BigQuery, etc.).


• Knowledge of data governance, data quality frameworks, and data security best practices.


• Experience working in a fast-paced, product-driven environment.


• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.


• Domain knowledge in ride-hailing, mobility, or autonomous vehicles.