Partner Solutions Architect Jobs
Partner Solutions Architect jobs are open across cloud services, enterprise software, cybersecurity, and telecommunications, from associate to principal and director levels, with specializations in channel enablement, technical pre-sales, and ecosystem integrations. See the openings below and apply to the ones that match your experience.
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Showing 5 of 24+ Partner Solutions Architect jobs
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 about benefits at Google.
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.
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 about benefits at Google.
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.
Partner Solutions Architect Jobs by Experience Level
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Find JobsPartner Solutions Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Distribution & Wholesale
- Non-Profit & Social Services
What Employers Look For
The qualifications that appear most often in partner solutions architect jobs.
- 5 or more years of experience in solutions architecture, pre-sales, or partner-facing technical roles
- Proficiency with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Experience building or enabling channel, ISV, or GSI partner ecosystems
- Relevant vendor or cloud certification such as AWS Solutions Architect, Azure Solutions Architect Expert, or equivalent
- Strong executive communication skills for both technical and business audiences
- Bachelor's degree in computer science, information systems, engineering, or a related field
Tips for Your Partner Solutions Architect Job Search
Quantify your partner ecosystem impact
Hiring managers want to see revenue influenced, not just relationships managed. Replace vague bullets with numbers: pipeline generated through partner channels, certifications completed, or partner-sourced deals closed. That specificity separates your resume from generalist solutions architects.
Apply early to roles that fit
Migrate Mate lists partner solutions architect openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies by partnership tier structure
Filter openings by companies that run formal tiered partner programs, such as ISV, reseller, or GSI ecosystems. Those roles carry more scope and faster advancement than companies treating partners as a secondary channel with no structured enablement motion.
Align your certifications to the employer stack
A cloud certification matters most when it matches the platform the employer actually sells through. Check the job description for the named cloud provider or partner program before leading with credentials that signal a competing ecosystem on your resume.
Prepare a whiteboard architecture demo
Many interviews include a live technical session where you walk through a partner integration scenario on a whiteboard or virtual canvas. Practice narrating your design choices aloud, addressing business outcomes alongside technical decisions, before you get into the interview room.
Negotiate scope before negotiating title
Partner-facing roles vary widely in authority over deal structure, pricing approvals, and go-to-market ownership. Before accepting any offer, clarify exactly which partners you own, what escalation paths exist, and how success is measured in the first year.
Partner Solutions Architect Jobs: Frequently Asked Questions
Which companies are hiring the most partner solutions architects?
The companies hiring the most partner solutions architects right now include Amazon, Amazon Web Services, and Stripe, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is concentrated at cloud platform providers, enterprise software vendors, and managed service providers running formal partner programs.
How many partner solutions architect jobs are remote?
About 86% of partner solutions architect openings are fully remote or hybrid as of November 2026, reflecting the partner-facing nature of the role. Pre-sales and technical enablement sub-areas tend to be the most remote-friendly, while roles tied to on-site partner labs or regional field coverage typically require more in-person presence.
How do you become a partner solutions architect?
Start by building a foundation in solutions engineering, cloud architecture, or technical pre-sales, then move into roles with channel or partner exposure. Earning a recognized cloud certification strengthens your candidacy. From there, seek positions with named partner ownership, build relationships across the partner ecosystem, and demonstrate measurable pipeline or revenue outcomes to advance.
Can I get a partner solutions architect job with limited experience?
Yes, but you'll need to close specific gaps. Focus on roles labeled associate or partner readiness engineer, which are designed for candidates earlier in their career. Highlight any work alongside channel teams, resellers, or integration projects, even informally. A cloud certification and a strong whiteboard or demo session in the interview can offset a shorter resume.
What does the partner solutions architect interview process look like?
Most processes run three to four rounds. An initial call with recruiting is followed by a hiring manager conversation focused on your partner experience and go-to-market approach. A technical round typically involves a live architecture exercise or whiteboard scenario with a partner integration challenge. A final round with cross-functional stakeholders assesses your executive communication and business judgment.
Where can I find and apply to partner solutions architect jobs?
You can find and apply to partner solutions architect jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your background and target stack, and apply directly to each listing that fits.
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