Partner Solutions Architect, Ecosystem Engineer Data Systems

Google • Miami, FL

4h • $183,000 - $265,000

About The Position

Join Google Cloud’s Go-To-Market team to help businesses adopt AI and achieve customer success. The role works with Google Cloud’s AI portfolio, including Gemini models and Vertex AI, and collaborates with partners to build data-to-AI solutions. It includes developing governed semantic layers and enterprise ontologies, validating agent integrations, creating AI-assisted validation and architectural review tools, and leading technical onboarding for Data and AI launches. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed US compensation is $183,000–$265,000 USD, plus a 20% bonus target, equity, and benefits.

Requirements

• 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, such as BigQuery, Spanner, AlloyDB, Pub/Sub, Dataflow, Spark, or equivalent cloud data services.
• Experience building solutions with Large Language Models (LLMs), agentic frameworks such as Google ADK or LangGraph, or Retrieval-Augmented Generation (RAG) architectures using Python, SQL, Go, or Java.

Nice To Haves

• 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 Vendors (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, such as Snowflake, Databricks, Teradata, or Oracle, on Google Cloud and activating them for AI workloads.

Responsibilities

• Build reusable data-to-AI solutions, architectures, and accelerators with partners on Google Cloud.
• Design and implement governed semantic layers and enterprise ontologies that connect 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 integrating Google Data Cloud services with third-party enterprise systems.
• Develop internal AI-assisted validation tools, evaluation rubrics, and automated architectural review workflows to scale Partner Engineering quality and turnaround velocity across partner engagements.
• Lead technical onboarding for Data and AI launches by developing implementation guides, code assets, and enablement materials.

Benefits

• 20% bonus target
• Equity
• Benefits; specific benefits are not detailed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior