Principal Engineer, End to End Systems and Analytics

Minimum qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience
• 15 years of experience building and designing distributed enterprise-level systems
• Experience leading and delivering large-scale system transformations from concept to deployment

Preferred qualifications:

• Experience in systems engineering, architecture, or a similar role, with a significant portion focused on supply chain data and analytics, data warehousing, and data engineering (preferably lakehouse and medallion architectures)
• Experience with complex data modeling and large-scale data processing within a supply chain and data center context, focusing on governance and privacy
• Demonstrated ability to influence and lead without direct authority, building strong relationships and driving alignment across teams
• Exceptional communication skills, both verbal and written, with the ability to articulate complex technical concepts to non-technical stakeholders
• Deep expertise in Google Cloud Platform (GCP) services and infrastructure

About the job

We are seeking a visionary Data, Analytics and Intelligence Engineer to lead the next phase of growth for Google Cloud Supply chain and data center operations. It is the defining role for transforming complex supply chain data and data center telemetry with the power of Google AI driven data engineering and decision framework. This domain includes data engineering & operations, data science & product, platform software, supply chain process & data products, data platforms, analytics, AI/ML models, data governance, and business intelligence.

In this role, you will translate abstract ideas into impactful technical realities, exploring data trends, identifying emerging use cases, and transforming them into actionable business development initiatives.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Advocate for the integration of AI/ML technologies across our supply chain and data center to enable predictive analytics, intelligent automation, optimization, and enhanced decision-making.
• Establish an understanding in Google Data centers and the challenges faced due to growth and scale and design innovative data-driven solutions that deliver tangible business outcomes.
• Take high-level, abstract business challenges and decompose them into well-defined, executable technical roadmaps and system designs.
• Take end-to-end ownership of critical system components, ensuring their reliability, performance, security, and scalability.
• Advocate the organizations vision for Google data centers and supply chain as a global standard, driving 10x thinking and AI innovation for touchless, measured user experiences, acting as a recognized leader.