Senior Staff Business Systems Analyst, Data Architecture, Spaces Engineering

Senior Staff Business Systems Analyst, Data Architecture, Spaces Engineering

Base pay range: $221,000.00/yr - $311,000.00/yr

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 12 years of experience building integrated systems throughout the entire lifecycle (e.g., analyze, design, build, test, implement, and support).
• 12 years of experience designing and implementing data systems.
• Experience with Artificial Intelligence/Machine Learning concepts and their specific data requirements.

Preferred qualifications

• Experience in real estate data and associated business processes, including strategic planning, the property life-cycle, and financial considerations.
• Knowledge of geospatial data and its applications within the real estate sector.

About The Job

At Google, we work at lightning speed. The Business Systems Integration team removes roadblocks by identifying time-consuming internal processes and building reliable, scalable solutions. You translate user needs into high-level technical specifications, design and develop recommended systems, and consult with Google executives to ensure smooth implementation. You help Googlers work faster and more efficiently by building business applications and influencing the design of features that improve the reliability of our applications and systems.

You will define the scope of technical projects and oversee execution. As a Senior Data/Information Architect in the Spaces Engineering team, you will lead the comprehensive design and implementation of data infrastructure solutions for Google’s Real Estate and Workplace Services IT portfolio. You will develop and drive the data strategy for implementing and maintaining an AI-ready data landscape, ensuring our data foundation supports strategic portfolio planning, integration of third-party systems’ data, and the advanced demands of AI/ML initiatives. You will understand enterprise data management, data governance, and support the data and automation needs of business units from within a corporate IT function. You will collaborate with business stakeholders, IT teams, and external partners.

The US base salary range for this full-time position is $221,000-$311,000 + bonus + equity + benefits. Salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits.

Responsibilities

• Develop and maintain the enterprise data architecture strategy for Google's Real Estate portfolio, aligned with business objectives, IT strategies, and an AI-ready roadmap.
• Design and implement scalable, high-performance data models for real estate functions, focusing on AI/ML readiness.
• Lead the integration of data sources, ensuring data cleanliness, consistency, and structural integrity for advanced analytics.
• Define and enforce data governance standards for data quality, security, and compliance, especially for AI model training and deployment.
• Provide technical leadership and mentorship, fostering a culture of data excellence and proactive AI preparedness.

Google is proud to be an equal opportunity workplace and 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• General Business, Strategy/Planning, and Consulting

Industries

• Information Services and Technology, Information and Internet

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