Google

Staff Software Engineer, Enterprise Data Platform and Governance

Google • $207K — $301K *
San Jose, CA 95123In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

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.
  • Lead the technical design and execution of secure data onboarding workflows and knowledge graphs for autonomous AI.
  • Build technical frameworks to harvest domain-specific successes and centralize them into reusable features.
  • Partner with Group Product Managers to address complex cross-domain data fragmentation challenges.
  • Serve as the ultimate technical authority on privacy, compliance, and responsible AI practices.

Benefits

  • Comprehensive healthcare coverage
  • Generous paid time off
  • Retirement savings plans
  • Employee equity options
  • Professional development opportunities
Full Job Description
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).


As a Staff Software Engineer on the EDP&G team, you will serve as the principal technical architect and engineering leader anchoring embedded domain integration models. You will own the technical strategy, design, and execution required to bridge centralized enterprise data platforms with cross-domain business environments.

In this role, you will define how Google builds high-integrity semantic engines and agentic endpoints that power autonomous AI workflows across the company. You will not only oversee implementation within critical domains, but you will also architect the core frameworks that allow domain-specific technical enhancements to scale back into the centralized Enterprise Data Platform. You are a technical visionary, a respected peer to group product leads, and a mentor to engineering teams navigating highly ambiguous, distributed, and data-intensive environments.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) 20% bonus target bonus equity benefits

Learn more about benefits at Google .

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.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Enterprise Technology
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ
GOOGL
* Ladders Estimates

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