Senior Staff Data Architect
Waymo
Mountain View, CA, United States Posted September 16, 2026
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Salary Range
$298,000 - $368,000
Job Description
Join Waymo as a Senior Staff Data Architect, where you will define and drive the global architectural roadmap for Waymo's Data Lake. You will serve as the ultimate Tech Lead over cross-domain data pipelines, championing modern Lakehouse/Medallion standards and overseeing core integration strategies for Data Governance. This role offers competitive compensation, comprehensive benefits, and a hybrid work model.
- Definir y dirigir la hoja de ruta arquitectónica global para el Data Lake de Waymo, gobernando la transición de un procesamiento ad-hoc a un ecosistema analítico altamente escalable.
- Servir como el líder técnico definitivo sobre los pipelines de datos de múltiples dominios, gobernando las dependencias y manteniendo la consistencia de la plataforma.
- Promover y hacer cumplir arquitecturas DAG lineales y estándares modernos de Lakehouse/Medallion para desenredar linajes "espagueti" altamente acoplados y opacos.
- Deep experience driving a data infrastructure org through rapid growing phrase, effectively balancing speed for analysts with central governance guardrails
- Proven track record of being the Lead Architect driving significant data governance and data platform maturity transitions (e.g., ad-hoc ➔ standardized)
- Highly effective cross-functional influencer; capable of driving alignment across hundreds of Stakeholders (Director+ levels, Embedded Eng, Data Science)
- Expert-level technical depth in distributed batch/streaming frameworks (e.g., C++, Flume, Apache Spark, Flink)
- 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
- 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)
Required Skills
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