Partner Solutions Architect, Ecosystem Engineer Data Systems

Partner Solutions Architect, Ecosystem Engineer Data Systems Share Partner Solutions Architect, Ecosystem Engineer Data Systems _corporate_fare_ Google _place_ Atlanta, GA, USA; Austin, TX, USA; +5 more; +4 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Partner Solutions Architect, Ecosystem Engineer Data Systems _info_outline_ XIn most instances, this position requires in-person interviews as part of the hiring process. The application window will be open until at least November 25, 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: **Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience. + 7 years of experience in customer or partner-facing technical roles such as Solutions Architect, Partner Engineer, Customer Engineer, or Principal Data Architect in a cloud computing environment. + Experience with enterprise data platforms, analytical data warehousing, relational and non-relational databases, and real-time data pipelines (e.g., BigQuery, Spanner, AlloyDB, Pub/Sub, Dataflow, Spark, or equivalent cloud data services). + Experience building solutions with Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangGraph), or Retrieval-Augmented Generation (RAG) architectures using Python, SQL, Go, or Java. **Preferred qualifications:** + Experience developing Model Context Protocol (MCP) servers, Agent-to-Agent (A2A) integrations, or enterprise agent plugins for Global System Integrators (GSIs) or SaaS Independent Software Vendor (ISVs). + Experience leading cross-organizational technical programs with GSIs and translating repeatable field patterns into reusable partner code repositories and technical guides. + Experience defining technical strategy and influencing executive leaders within global partner organizations. + Expertise in Google Cloud's data analytics, database, and AI/ML platforms and services. + Proven track record of migrating and modernizing complex on-premises or multi-cloud data estates (e.g., Snowflake, Databricks, Teradata, Oracle) on Google Cloud and activating them for AI workloads. **About the job** It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Build reusable data-to-AI solutions, architectures, and accelerators with partners on Google Cloud. + Design and implement governed semantic layers and enterprise ontologies connecting BigQuery Graph, Conversational Analytics Agents, Looker, and Google Cloud Knowledge Catalog Custom Aspects to ground enterprise AI agents in verified business definitions. + Validate Gemini Enterprise plugins, remote Model Context Protocol. (MCP) servers, and reusable agent skills that integrate Google Data Cloud services with third-party enterprise systems. + Develop internal AI-assisted validation tools, evaluation rubrics, and automated architectural review workflows that scale Partner Engineering quality and turnaround velocity across partner engagements. + Lead technical onboarding for Data and AI launches, developing implementation guides, code assets, and enablement materials. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . 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. 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.