Solutions Architect, Data Cloud

Google; United States; On-site; USD 233,000 - 324,000; Full time

Job summary

Google is seeking a Solutions Architect for Data Cloud who will lead technical relationships with large advertising clients and partners across the US. You will oversee complex data architectures, drive data-driven solutions, and ensure scalable, secure deployments that align with product strategy.

You will collaborate with Engineering, Sales, and Product Management to deliver innovative data cloud solutions, build automated tools, and accelerate customer deployments.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience.
• 10 years of experience with ETL tools, data pipeline orchestration (e.g., Spark), and data warehousing architectures.
• 2 years of experience with Google Cloud's Vertex Platform.
• Experience with SQL, NoSQL, Python, Java, or data modeling techniques.

Responsibilities

• Design, prototype, and publish production-ready Data Cloud assets and reference architectures to scale field enablement.
• Establish end-to-end technical ownership over complex data domains and guide architectural decisions across databases, analytics, BI and GenAI.
• Architect and scale high-impact assets (demos, reference architectures, guides) showcasing Google Cloud's data capabilities.
• Collaborate with Product and Engineering to inject real-world insights into the product roadmap.

Skills

ETL tools

Data warehousing

Spark

SQL

Python

Java

NoSQL

Data modeling

Education

Bachelor's degree

Master's degree (preferred)

Tools

Vertex Platform (Google Cloud)

Job description

Solutions Architect, Data Cloud

Google

Chicago, IL, USA; Boulder, CO, USA; Austin, TX, USA; Miami, FL, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

The application window will be open until at least September 2, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

Chicago, IL, USA; Boulder, CO, USA; Austin, TX, USA; Miami, FL, USA

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience with ETL tools, data pipeline orchestration (e.g., Spark), and data warehousing architectures.
• 2 years of experience with Google Cloud's Vertex Platform.
• Experience with SQL, NoSQL, Python, Java, or data modeling techniques.

Preferred qualifications:

• Master's degree in Computer Science, related engineering field, or equivalent practical experience.
• 15 years of experience writing bespoke code, building custom tooling, or contributing to core codebases to resolve critical technical issues.
• Experience developing, deploying, and optimizing data architecture deployments and generative AI agents, particularly conversational AI on enterprise platforms.
• Expertise in CI/CD pipelines, agent performance tuning, and production readiness for cloud-based data applications.
• Proven track record of creating reusable tools, technical accelerators, and documentation to scale engineering enablement.

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.

As a Solutions Architect for Data Cloud, you will act as a technical expert for Google Cloud's Customer Engineering and field teams. You'll in-depth search into complex customer issues, build highly secure, scalable reference implementations, and advocate our technologies across the ecosystem. You'll be responsible for technical architecture spanning on-prem and cloud-based solutions introducing novelty adjustments and AI builds to support the Agentic era. In your technical solutioning you will take into account factors like cost, security, privacy, regulatory requirements, data governance, and reliability in the design. By bridging Customer Engineering, Product, and Engineering, you will eliminate friction, accelerate deployment, and help our field teams and customers build what's next at lightning speed.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $233000 - $324000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, prototype, and publish production-ready Data Cloud assets, reference architectures, and technical accelerators to scale field enablement.
• Establish end-to-end technical ownership over complex data domain spaces, guiding core architectural decisions across databases, analytics, business intelligence and GenAI.
• Architect and scale high-impact, technical assets (demos, technical reference architectures, and guides) that showcase Google Cloud's data capabilities to address our customers' toughest issues.
• Collaborate closely with Product and Engineering to inject real-world insights directly into the product roadmap, driving continuous innovation.

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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.

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