Staff Software Engineer, Enterprise Data Platform and Governance

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Google in San Jose, CA is hiring a Staff Software Engineer for Enterprise Data Platform and Governance. You will drive data-onboarding workflows, knowledge graphs, and AI-enabled routing at scale, partnering with Product and Strategy teams to align data standards and speed.

You will lead architecture decisions and ensure privacy and security by design across distributed systems. The role emphasizes advanced software design, long-term technical leadership, and delivering production-grade AI

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin, or Go.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Responsibilities

• Define the technical roadmap, engineering standards, and integration patterns for embedded resources across multiple business domains to accelerate high-impact outcomes.
• Lead secure data onboarding workflows, knowledge graphs, and agentic endpoints for autonomous AI reasoning.
• Build technical frameworks that harvest data engineering successes and reuse them as centralized features.
• Partner with Product Managers and BSAs to solve cross-domain data fragmentation while upholding data standards.
• Champion privacy, compliance, trust and safety, and responsible AI across forward-deployed systems.

Skills

C++

Java

Python

Kotlin

Go

Software design

Architecture

AI integration

Education

Bachelor's degree or equivalent practical experience

Job description

Staff Software Engineer, Enterprise Data Platform and Governance

Location

San Jose, CA, USA

Experience Level

Advanced

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin, or Go.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Preferred qualifications

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
• Deep technical mastery of semantic modeling, knowledge graph construction, large-scale data pipeline engineering, and deploying production-grade AI/ML infrastructure (e.g., advanced Retrieval-Augmented Generation (RAG) frameworks, model evaluation pipelines, agentic orchestration).

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Responsibilities

• Define the technical roadmap, engineering standards, and integration patterns for embedded resources across multiple business domains to accelerate high-impact outcomes.
• Lead the technical design and execution of secure data onboarding workflows, knowledge graphs, and agentic endpoints capable of sustaining autonomous AI reasoning without human mitigation.
• Build technical frameworks that seamlessly harvest domain-specific data engineering successes and contribute them back as reusable, centralized features.
• Partner with Group Product Managers and Principal Business Strategy Analysts (BSAs) to solve complex, cross-domain data fragmentation hurdles, balancing localized velocity and business autonomy with rigid data substrate standards.
• Serve as the ultimate technical authority for privacy, compliance, trust and safety, and responsible AI practices across forward-deployed systems, ensuring infrastructure is secure by design.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company, and in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

US: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.