Data Engineer, Data Architecture and Engineering, gTech Strategy and Operations

Responsibilities

Design, develop, test, and maintain reliable and scalable data pipelines and Extract, Transform, Load and Extract, Load, Transform (ETL/ELT) architectures using Google's distributed data systems (e.g., advanced SQL, Python).

Contribute to the modernization of the Google Ads Data Infrastructure (GDI) and Customer Data Platform (CDP), optimizing data models to ensure our Single Source of Truth remains robust and performant.

Partner closely with cross-functional stakeholders across gTech and Customer Engagement (CE) to translate evolving business requirements into actionable technical data solutions.

Work seamlessly with Data Scientists and Business Analysts to transition analytical prototypes, metrics, and models into stable, production-grade reporting environments.

Advocate data quality by authoring clear technical design documents, executing code reviews, and proactively resolving complex bugs and support escalations.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our