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Data Engineering Manager

Google
California, USA
Manager · 10+ years experience
Onsite
USD 186000-269000 / year
Discovered 3 weeks ago
bigquerygcpvertex-ai

Full Job Posting

Responsibilities

  • Define the technical strategy for the centralized data warehouse, including scalable pipelines, ETL/ELT processes, and AI-ready data foundations.
  • Oversee performant data modeling and SQL transformation standards, guiding architecture and optimization to support analytics at scale.
  • Drive organization-wide data quality, governance, and operational reliability, holding the team accountable for trusted data assets.
  • Partner with executive leaders, data scientists, and engineering teams to translate complex business needs into prioritized roadmaps.
  • Manage resources and capacity to deliver projects on time while promoting best practices like code and design reviews.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
  • 5 years of experience coding in one or more programming languages, designing data pipelines, and experience with data warehousing concepts, data modeling techniques, and scalable architecture patterns.
  • 3 years of experience in a people management, supervision, or team leadership role.

Preferred qualifications:

  • Experience with GCP data services (BigQuery) or other cloud platforms data services, AI infrastructure (Vertex AI), and making build-versus-buy decisions.
  • Experience driving AI data strategy, including Generative AI, LLM integration, RAG, and vector databases.
  • Experience setting up data quality, governance, reliability frameworks, and production-grade pipeline engineering standards.
  • Experience setting technical roadmaps, managing priorities, and delivering projects across teams.
  • Experience or familiarity with consumer electronics, or supply chain data.
  • Executive communication skills to influence leaders, and building high-performing teams.

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