Role at a glance
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Mountain View, California, United States San Francisco, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- BS/MS/PhD in Computer Science, Computer Engineering, or equivalent.
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Role Summary
The Sr. Staff Data Architect defines and drives the architectural roadmap for Waymo’s Data Lake, moving it toward a scalable analytical ecosystem. The role leads cross-domain data architecture and standards while integrating governance, privacy, access control, and compliance.
What You'll Do
- Define and drive the global architectural roadmap for the Data Lake.
- Lead cross-domain data pipelines and govern dependencies across centralized infrastructure and embedded product domains.
- Promote linear DAG architectures and Lakehouse/Medallion standards.
- Lead Data Design Review forums and establish standards for modular code, testing, dependency registration, and environmentalization.
- Architect self-service frameworks and Managed Pipeline Services for Data Engineers and Product Data Scientists.
- Integrate privacy, access control, and pipeline compliance into core architecture.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS/MS/PhD in Computer Science, Computer Engineering, or equivalent. Requires 12+ years leading design, implementation, and operations of multi-Petabyte data lake/data warehouse solutions; a track record leading data governance and platform maturity transitions; experience balancing analyst speed with governance; expert depth in distributed batch/streaming frameworks; and cross-functional influence across large stakeholder groups.
Preferred
- Hands-on knowledge of cloud-native or internal release hardening ecosystems (e.g., Canary/CAS, CI/CD pipelines, container orchestration).
- High proficiency with Google-internal pipeline/data stacks (Flume, SQLP, Rapid, CAS, F1).
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
You will:
• Define and drive the global architectural roadmap for Waymo's Data Lake, governing the transition from ad-hoc processing to a production-grade, highly scalable analytical ecosystem.
• Serve as the ultimate Tech Lead (TL) over cross-domain data pipelines, governing dependencies and maintaining platform consistency across both centralized infrastructure and embedded product domains.
• Champion and enforce linear DAG architectures and modern Lakehouse/Medallion standards to untangle highly coupled, opaque "spaghetti" lineage.
• Chair centralized Data Design Review forums, establishing unified standards for modularized code, testing suite enforcement, DAG dependency registration, and environmentalization.
• Architect common, self-service frameworks and "Managed Pipeline Services" (like hardened wrappers and templates) for downstream consumption by Data Engineers and Product Data Scientists.
• Oversee core integration strategies for Data Governance, ensuring privacy (GDPR), access Control (IAM/RBAC), and pipeline compliance are deeply baked into core architecture.
You have:
• BS/MS/PhD in Computer Science, Computer Engineering, or equivalent.
• 12+ years of experience leading the design, implementation, and operations of multi-Petabyte Data Lake/Data Warehouse solutions in high-growth companies.
• Proven track record of being the Lead Architect driving significant data governance and data platform maturity transitions (e.g., ad-hoc ➔ standardized).
• Deep experience driving a data infrastructure org through rapid growing phrase, effectively balancing speed for analysts with central governance guardrails.
• Expert-level technical depth in distributed batch/streaming frameworks (e.g., C++, Flume, Apache Spark, Flink).
• Highly effective cross-functional influencer; capable of driving alignment across hundreds of Stakeholders (Director+ levels, Embedded Eng, Data Science).
We prefer:
• Hands-on knowledge of cloud-native or internal release hardening ecosystems (e.g., Canary/CAS, CI/CD pipelines, container orchestration).
• High proficiency with Google-internal pipeline/data stacks (Flume, SQLP, Rapid, CAS, F1).
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
About the company
Waymo
Large Enterprise
Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.