Data Engineering Manager: AI & Platform Lead

Google; Mountain View (CA); On-site; USD 186,000 - 269,000; Full time

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google in Mountain View is seeking a Manager, Data Engineering to lead a team of data engineers and drive the next generation of data infrastructure for the Google Platforms and Devices organization.

You will set standards for scalable pipelines, data quality, and governance, partner with executives, and translate business needs into prioritized roadmaps while ensuring delivery across teams.

Qualifications

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

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.

Skills

Data engineering

SQL scripting

People management

Education

Bachelor's degree or equivalent

Job description

Google in Mountain View is seeking a Manager, Data Engineering to lead a team of data engineers and drive the next generation of data infrastructure for the Google Platforms and Devices organization.

You will set standards for scalable pipelines, data quality, and governance, partner with executives, and translate business needs into prioritized roadmaps while ensuring delivery across teams.