Solutions Architect (Technical)

• Work directly with partners to validate and document business and technical solution requirements during onboarding.
• Perform technical solution qualification with early-stage companies to ensure they are ready for initiative onboarding.
• Provide technical feedback on architecture diagrams or offer guidance on requirements for migrating from other hyperscalers.
• Guide partners on technical issues, architecture reviews, and Marketplace onboarding.
• Develop and deploy repeatable solutions/assets to assist and encourage partners to adopt at scale.
• Capacity to engage in 500 level technical conversations with internal and external stakeholders.
• Implement ongoing monitoring to inform business policies and collaborate with partners to address any telemetry issues, in partnership with business and partner managers.
• Establish strong feedback loops with partners, operations, and product/engineering teams to deliver product enhancements that improve partner satisfaction.
• Deep knowledge and understanding of Google Cloud services like BigQuery, AlloyDB, Cloud SQL, Kubernetes, Virtual machines and APIs to manage and handle onboarding issues.

• Excellent organizational skills and a detail-oriented approach to verbal and written communication.
• Support experience in managing cases and project trackers for new and existing onboardings.
• Google Cloud Professional-level certification is a plus.
• Coding skills in Python, Java etc is a plus.
• Knowledge of modern SaaS patterns and best practices on Google Cloud Platform.
• Knowledge of Vertex AI and Generative AI tools and services.
• Experience in driving interactions with product and/or engineering teams.
• Experience in business problem-solving, analysis, and scalable process implementation.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Work directly with partners to validate and document business and technical solution requirements during onboarding.
• Perform technical solution qualification with early-stage companies to ensure they are ready for initiative onboarding.
• Provide technical feedback on architecture diagrams or offer guidance on requirements for migrating from other hyperscalers.
• Guide partners on technical issues, architecture reviews, and Marketplace onboarding.
• Develop and deploy repeatable solutions/assets to assist and encourage partners to adopt at scale.
• Capacity to engage in 500 level technical conversations with internal and external stakeholders.
• Implement ongoing monitoring to inform business policies and collaborate with partners to address any telemetry issues, in partnership with business and partner managers.
• Establish strong feedback loops with partners, operations, and product/engineering teams to deliver product enhancements that improve partner satisfaction.
• Deep knowledge and understanding of Google Cloud services like BigQuery, AlloyDB, Cloud SQL, Kubernetes, Virtual machines and APIs to manage and handle onboarding issues.

• Excellent organizational skills and a detail-oriented approach to verbal and written communication.
• Support experience in managing cases and project trackers for new and existing onboardings.
• Google Cloud Professional-level certification is a plus.
• Coding skills in Python, Java etc is a plus.
• Knowledge of modern SaaS patterns and best practices on Google Cloud Platform.
• Knowledge of Vertex AI and Generative AI tools and services.
• Experience in driving interactions with product and/or engineering teams.
• Experience in business problem-solving, analysis, and scalable process implementation.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.