
GCP Engineer
Golden Valley, MNJobSeen todaySeen in employer's feed today
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Job overview
Insight Global seeks a hands-on Google Cloud Platform solutions architect to lead architecture, governance, and implementation for an evolving enterprise cloud and AI environment. The architect will assess the existing environment, define future-state architecture, and guide Google Cloud and Gemini Enterprise initiatives. The role collaborates with technical teams and business stakeholders to establish secure, scalable solutions, clear ownership, and practical implementation plans.
Skills & qualifications
Skills
Full job description
Job Description
Position Overview We are seeking an experienced, hands-on Google Cloud Platform (GCP) Solutions Architect to lead the architecture, governance, and implementation of an evolving enterprise Google Cloud and AI environment. This individual will play a critical role in helping a large, established organization expand its AI capabilities, establish clear technical ownership, and build a scalable, secure, and well-governed cloud ecosystem. The organization currently operates primarily within a Microsoft-based enterprise environment while supporting Google Workspace and expanding its Google Cloud and AI capabilities. As business demand for AI solutions continues to grow, the organization needs an experienced architect who can assess its existing environment, define the future-state architecture, and guide the implementation of Google Cloud technologies, including Gemini Enterprise. This is not a purely advisory or administrative position. The ideal candidate is a proven technical architect who has successfully designed and implemented enterprise Google Cloud environments and can translate architectural strategy into actionable execution. The individual will serve as a technical leader, collaborating with infrastructure, security, networking, engineering, AI, and business teams to drive solutions forward.
Key Responsibilities Google Cloud Architecture & Implementation
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Assess the existing Google Cloud environment, including current architecture, integrations, security considerations, and infrastructure dependencies.
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Define and guide the implementation of a scalable, secure, enterprise-ready Google Cloud architecture.
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Lead architectural planning and technical direction for Google Cloud and enterprise AI initiatives.
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Evaluate existing sandbox capabilities and help establish appropriate development, testing, and production environments.
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Collaborate with engineering and infrastructure teams to ensure Google Cloud solutions integrate effectively with existing enterprise technologies.
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Provide hands-on technical expertise and implementation support where needed. Enterprise AI Enablement & Integration
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Support the implementation and expansion of enterprise AI capabilities, including Gemini Enterprise.
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Partner with business stakeholders to understand AI requirements, use cases, and technical needs.
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Evaluate and guide the integration of additional AI tools and technologies within the enterprise environment.
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Design solutions that support integrations across APIs, applications, cloud services, and enterprise systems.
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Help establish a secure and scalable foundation for future AI adoption across business functions. Governance, Security & Technical Ownership
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Assess existing Google Cloud governance practices and identify gaps in ownership, access management, and operational accountability.
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Establish clear roles and responsibilities across IT teams, including developing a RACI framework for ongoing platform ownership and support.
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Partner with security, infrastructure, networking, and engineering teams to define appropriate governance and access controls.
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Help establish guidelines for sandbox, development, and production access.
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Recommend architectural standards and operating practices that support enterprise security, scalability, and long-term sustainability. Technical Leadership & Cross-Functional Collaboration
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Serve as the primary technical architect responsible for defining the vision and directing Google Cloud implementation efforts.
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Work closely with internal technical teams and business stakeholders to translate requirements into practical solutions.
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Coordinate work across multiple IT functions, ensuring clear responsibilities, accountability, and progress.
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Proactively identify technical challenges, dependencies, and risks, and drive them toward resolution.
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Communicate architectural recommendations and technical decisions to both technical and nontechnical stakeholders.
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Provide direction and technical oversight while leveraging the implementation capabilities of existing internal teams.
Skills and Requirements
Required Qualifications
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Demonstrated experience architecting and implementing enterprise solutions using Google Cloud Platform (GCP).
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Proven experience designing and building Google Cloud environments, including cloud infrastructure, security, integrations, and enterprise architecture.
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Experience supporting enterprise AI initiatives and integrating AI technologies into existing technology ecosystems.
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Working knowledge of Google Cloud AI capabilities and familiarity with solutions such as Gemini Enterprise.
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Experience designing or supporting integrations across APIs, enterprise applications, and cloud-based platforms.
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Strong understanding of cloud governance, access management, security principles, and enterprise infrastructure.
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Experience establishing technical standards, architecture ownership, and operational responsibilities across multiple teams.
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Ability to evaluate an existing technology environment, identify gaps, and define a practical implementation roadmap.
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Proven ability to lead cross-functional technical initiatives and drive execution through teams with varying responsibilities. Strong communication, stakeholder management, and problem-solving skills. Preferred Qualifications
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Experience implementing Gemini Enterprise or comparable enterprise AI solutions.
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Experience working in organizations with both Microsoft and Google technology ecosystems.
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Experience establishing enterprise AI governance frameworks and secure sandbox environments.
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Familiarity with hybrid cloud infrastructure and complex enterprise integration environments.
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Experience helping organizations establish or mature their Google Cloud architecture and operational practices.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].
How this job compares
Set against the 2,649 open Cloud Architect jobs on Olive Jobs, counted November 13, 2026.
- Pay
- This postingNot listed
- Minnesota median$131–216K/yr36 salary ranges
- US median$60–70/hr34 hourly ranges
- Openings
- Olive Jobs lists 42 open Cloud Architect jobs in Minnesota and 2,649 across the US. 17% of them nationwide are listed as remote or flexible.
- Hiring the most in Minnesota
- Amazon8 open
- Akamai Technologies, Inc.5 open
- Oracle5 open
- Experience
- Cloud Architect postings that state a minimum ask for 8 years of experience at the median; the middle half ask for 5 to 10 years (2,332 postings).
- Education
- 818 of the 2,649 open Cloud Architect jobs (31%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.
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