{"id":4082184,"url":"https://alion.io/job/google-partner-solutions-architect-ecosystem-engineer-data-systems","title":"Partner Solutions Architect, Ecosystem Engineer Data Systems","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":131,"ghost_share":0.038,"stale_share":0.763,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google ADK","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"Looker","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"A2A","optional":true},{"name":"Databricks","optional":true},{"name":"LangChain","optional":true},{"name":"Oracle","optional":true},{"name":"Snowflake","optional":true},{"name":"Teradata","optional":true}],"status":"live","first_seen_at":"2026-11-11T15:08:38Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T10:38:29Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nIt'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\nLearn more about benefits at Google.\nResponsibilities\nBuild reusable data-to-AI solutions, architectures, and accelerators with partners on Google Cloud.\nDesign 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.\nValidate Gemini Enterprise plugins, remote Model Context Protocol. (MCP) servers, and reusable agent skills that integrate Google Data Cloud services with third-party enterprise systems.\nDevelop internal AI-assisted validation tools, evaluation rubrics, and automated architectural review workflows that scale Partner Engineering quality and turnaround velocity across partner engagements.\nLead technical onboarding for Data and AI launches, developing implementation guides, code assets, and enablement materials.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience.\n7 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.\nExperience with enterprise data platforms, analytical data warehousing, relational and non-relational databases, and real-time data pipelines (e.g., BigQuery, Spanner, AlloyDB, 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