Data Engineering Manager

We build scalable analytics solutions on Google Cloud Platform. By partnering closely with business stakeholders, we translate complex data needs into tangible technical solutions that drive decision-making, product strategy, and operational efficiency via data-driven insights and advanced AI applications.

As the Manager, Data Engineering on the DAS team, you will lead a team of data engineers designing and building the next generation of our data infrastructure.

This role needs a strong technical leader who can manage and inspire high-performing data engineers while staying close enough to the work to guide architecture decisions on massive datasets. You will be a partner to functional teams, turning business needs into prioritized solutions. You will also set the standards and best practices that raise the bar across the organization.

About Google

• The Data and Analytics Services (DAS) team is a data and analytics hub for the Google Platforms and Devices (P&D) organization.
• Our mission is to empower the Devices organization with timely, accurate, and actionable data.
• We are committed to ensuring that data is a reliable and transformative asset for all of P&D.

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.

Requirements

• 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

• 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.

Pay

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $186000 - $269000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google