Senior Staff Data Architect

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 a competitive compensation package, comprehensive benefits, and a hybrid work model with remote work opportunities.

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 escalable.

USD 298,000 - 368,000

Responsibilities

• Servir como el líder técnico principal 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 deshacer la "línea de spaghetti" altamente acoplada.
• 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)

Requirements

• 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)

Preferred

• High proficiency with Google-internal pipeline/data stacks (Flume, SQLP, Rapid, CAS, F1)