Technical Solutions Architect, Internal Enterprise Product Strategy
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in technology, software engineering, or enterprise architecture, with an emphasis on data engineering or AI/ML systems.
- Experience designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or production-grade AI/ML pipelines.
- Experience in developing solution architectures through system design techniques (sample topics include distributed systems, designing a system under certain constraints, simplicity, limitations, robustness and tradeoffs).
Preferred qualifications:
- Experience with modern system design patterns (e.g., microservices, event-driven architectures, Zero Trust security models, cloud-native scalability) and their integration with large-scale enterprise portfolios.
- Experience developing architectural strategies across a portfolio of internal systems within a complex, highly regulated global organization of large-scale.
- Demonstrated ability to operate effectively within an established central enterprise architecture function, balancing individual pillar delivery and velocity with shared enterprise goals.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
We are seeking a highly technical, forward-thinking Enterprise Architect to join the Enterprise Product Strategy and Architecture (EPA) team with a dedicated focus on Data and AI Enablement. In this role, you will be responsible for defining, driving, and scaling enterprise-wide architectural standards, reference models, and patterns that empower Corporate Engineering to build innovative, secure, and data-driven capabilities.
You will be responsible for authoring the core reference architectures, blueprints, and design patterns required to modernize our data life-cycle and accelerate the deployment of safe, scalable AI solutions. This is an impact-driven role focused heavily on execution and enablement; you will work with technical leads and engineering squads across all Corporate Engineering pillars to advocate modern data architecture, unblock complex technical hurdles, and directly drive the active adoption of enterprise AI standards.
US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Partner closely with other enterprise architects to ensure data and AI standards seamlessly integrate with broader enterprise platforms, applications, and core infrastructure.
- Collaborate with pillar leads and engineering teams to embed established data and AI reference patterns into their localized system designs. Lead technical forums, architecture deep-dives, and workshops to elevate data engineering and AI competencies.
- Review data and AI proposals, proactively identifying architectural fragmentation, and mitigating security threats or technical debt. Serve as the technical bridge between centralized AI infrastructure and distributed pillar squads, unblocking architectural dependencies and driving execution.
- Define architectural guidelines that ensure robust data privacy, compliance, metadata management, and model lineage standards are deeply integrated into all technical designs.
- Evaluate emerging technologies, industry trends, and third-party solutions, actively bringing them to bear to provide a strategic advantage across the portfolio.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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.