Architectural Design Engineering Lead, Google Data Centers

Architectural Design Engineering Lead, Google Data Centers Google - 4.3 San Francisco, CA Job Details Full-time $171,000 - $248,000 a year 2 hours ago Qualifications CAD software National Council of Architectural Registration Boards Certification Revit Construction documentation Building information modeling (BIM) tools Full Job Description Applicants in

San Francisco:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in the

County of Los Angeles:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: San Francisco, CA, USA; Sunnyvale, CA, USA. Remote location(s): California, USA.

Minimum qualifications:

Bachelor's degree in architecture, civil, or structural engineering or equivalent practical experience. Certification in the national council of architectural registration boards (NCARB). 10 years of experience working on industrial or data center projects within an architecture, engineering, or construction (AEC) environment. Experience using Autodesk Revit, AutoCAD, and Autodesk Construction Cloud for design coordination, life safety review, and architectural documentation.

Preferred qualifications:

Master's degree in architecture, civil engineering, or structural engineering. 12 years of experience as a licensed architect with the national council of architectural registration boards certification (NCARB). 12 years of experience as a key contributor to multi-phased projects within architecture, engineering, or construction firms. Experience managing external architecture and engineering vendors for data center design while utilizing Python and Dynamo to automate the design tasks. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department - cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements - even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). As the Data Center Architectural Design Lead, you will bridge the gap between design and construction. You will lead next-generation infrastructure development, creating scalable solutions from product-level details to top-level assembly. By merging expertise in building codes and life safety with advanced modeling, you will ensure all spaces are optimized for performance, safety, and efficiency. You will drive multi-disciplinary projects, coordinating with structural, mechanical, electrical, and security trades to rationalize complex requirements. You will guide external consultants in creating construction-ready packages while distilling technical insights for senior leadership. By orchestrating feedback loops between construction and operations, you will integrate real-world data into future designs to ensure facilities remain sustainable and state-of-the-art. You will optimize for long-term business goals, providing the foundational framework necessary for the future of global technology deployment. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. The US base salary range for this full-time position is $171,000-$248,000 + 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 Direct multi-disciplinary teams across structural, civil, mechanical, electrical, controls, security, and telecommunications for product development and top-level assembly integration of architectural scopes. Lead internal workstreams to define and standardize technical requirements for next-generation data center designs and ancillary building structures. Conduct design reviews to ensure global building code compliance, optimized space planning, headcount modeling, and efficient people and material circulation. Review construction-level drawings and specifications, serving as the primary escalation point for localized engineering adjustments to canonical designs. Orchestrate feedback loops between construction and operations teams to integrate field data and lessons learned into future design iterations and program standards. 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.