Data Engineering Manager
Mountain View, CA, USA · Manager · Full-time · Posted Oct 14, 2026
- Experience
- 10 years in data infrastructure and data models; 5 years in coding, data pipelines, and related data engineering areas; 3 years in people management, supervision, or team leadership.
- Education
- Bachelor's degree or equivalent practical experience.
About the job
Leads a data engineering team building scalable data infrastructure and analytics solutions for Google’s Platforms and Devices organization.
What you'll do
- Set technical strategy for the centralized data warehouse, pipelines, ETL/ELT processes, and AI-ready data foundations.
- Guide data modeling and SQL transformation standards, and drive data quality, governance, and operational reliability.
- Partner with leaders and technical teams to prioritize roadmaps, manage delivery, and promote engineering best practices.
What they ask for
- Bachelor's degree or equivalent practical experience.
- 10 years of experience working with data infrastructure and data models, including exploratory queries and scripts.
- 5 years of experience coding in one or more programming languages, designing data pipelines, and working with data warehousing, data modeling, and scalable architecture patterns.
- 3 years of experience in people management, supervision, or team leadership.
Nice to have
- Experience with GCP data services (BigQuery) or other cloud data services, AI infrastructure (Vertex AI), and build-versus-buy decisions.
- Experience with AI data strategy, including Generative AI, LLM integration, RAG, and vector databases.
Pay
$186000 - $269000 USD base salary
Tools
Google Cloud Platform, BigQuery, Vertex AI, SQL, ETL/ELT, Generative AI, LLM, RAG
AI focus
Establish AI-ready data foundations and drive AI data strategy, including Generative AI, LLM integration, RAG, vector databases, and AI infrastructure.
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