Staff Software Engineer, Google Cloud Data Model

SOFTWARE_ENGINEERING
USA
November 12, 2025
FULL_TIME

Job Overview

  • Date Posted
    November 12, 2025
  • Location
    USA
  • Expiration date
    --

Job Description

2025-10-16T11:34:46.103Z

121268238213358278

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • 5 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

Preferred qualifications:

  • Ability to take ambiguous business problems and break them down into solvable technical problems.
  • Ability to work with Big Data and GenAI, especially in the context of building high quality data systems and reconciliation of fuzzy data sources.
  • Ability to build data products as well as building adoption for data products.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Our primary objective at Google Cloud Business Platform (GCBP) is to enable Google Cloud’s scale. We are a product and engineering organization responsible for the applications and platforms that drive Cloud Marketing, Sales, Partner, Support, Finance and other critical functions that run the Google Cloud business. We deliver end-to-end solutions leveraged by Cloud Customers, Partners, and Googlers alike that enable rapid growth and increase the adoption of Google Cloud around the world.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $197,000-$291,000 + 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

  • Advance the next generation of Unified Device Library (UDL) reference data to support enhanced marketing and sales workflows.
  • Enable scalable agentic integrations that leverage high-quality out-of-the-box data.
  • Provide technical leadership to Cloud Data Analytics and Insights teams regarding customer data.
  • Develop scalable systems to improve customer understanding in terms of data coverage, quality, and impact, incorporating ‘Human in the Loop’ agents for continuous data quality improvement.
  • Review technical designs and architectures, offering guidance for long-term data quality and system health.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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