Google
Senior Staff Solutions Architect, Internal Enterprise Product Strategy
Found: Today
Senior Staff Solutions Architect, Internal Enterprise Product Strategy
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients 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 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 visionary Enterprise Architect to be a critical part of the Enterprise Product Strategy and Architecture (EPA) team. In this role, you will be responsible for defining and driving enterprise-wide architectural standards, alignment, scalability, and efficiency to ensure our global corporate infrastructure remains innovative, flexible, and strictly mapped to overall business strategy.
You will serve as a foundational catalyst supporting and driving technical excellence across the broader engineering ecosystem. By partnering to advocate for rigorous engineering standards, modernize system design paradigms, and cultivate a high-caliber technical culture across our portfolio of internal systems, you will help eliminate architectural fragmentation, elevate engineering craft, and ensure our teams are empowered to build highly resilient, state-of-the-art platforms.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $233000 - $325000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with technology, software engineering, or enterprise architecture, focusing on data engineering or AI/ML systems.
- Experience with designing and implementing data architecture frameworks, enterprise data warehouses/data lakes, or AI/ML pipelines.
- Experience with developing solution architectures and utilizing system design techniques.
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.
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.
