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GCP Solutions Architect

Valtech·$150,000 – $215,000

Primary stack

Cloud FunctionsBigQueryPub/SubCloud RunComplianceAIGCPVertex AIDataflow

Nice to have's

public sectorgovernmenteducationhighly regulated environmentsstructured enterprise architecture practiceshybrid cloudon-premises-to-cloud migration roadmapslarge-scale migrationsmodernization effortscloud transformation programstechnical stakeholdersexecutive leadersenterprise technology evaluationgovernancesolution planning processesemerging technologiesmethodologiescloud-native solutions

Job description

About the Position

GCP Solutions Architect

United States - Remote

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

Responsibilities

  • Provide hands-on architectural leadership embedded within client teams, from discovery through delivery
  • Design and implement enterprise-scale cloud architectures, including application infrastructure, integration strategies, and secure deployment patterns
  • Guide engineering teams on technical trade-offs, architecture decisions, and best practices
  • Develop cloud adoption roadmaps, including hybrid and migration strategies where applicable
  • Architect and support highly distributed, scalable systems in cloud environments
  • Act as a trusted advisor to senior stakeholders, translating complex technical topics into actionable recommendations
  • Partner with cross-functional teams to proactively manage risks, dependencies, timelines, and technical blockers
  • Support the design and deployment of AI-enabled and data-driven solutions on GCP
  • Collaborate with delivery, engineering, and customer teams to ensure solutions align with security, compliance, and operational requirements
  • Contribute to long-term technical strategy and architectural direction aligned with business objectives

Requirements

  • United States citizenship with the ability to work from the United States, required to meet customer and compliance requirements
  • Ability to obtain a US Government Top Secret / Sensitive Compartmented Information (TS/SCI) clearance
  • Must hold at least one active Google Cloud Professional-level certification (from Google's current portfolio of Professional certifications)
  • 5+ years of experience in solution architecture, technical consulting, cloud engineering, or enterprise architecture
  • Strong hands-on experience with software development, including object-oriented programming (such as Python, Java, or C++)
  • Proven experience designing and delivering enterprise cloud solutions
  • Hands-on experience with Google Cloud Platform (GCP), including services such as:
    • IAM
    • Cloud Armor
    • Security Command Center
    • Chronicle
  • Strong understanding of cloud-native security principles, DevSecOps, and regulatory compliance, including frameworks such as GDPR and HIPAA
  • Hands-on experience with core GCP data services, including:
    • BigQuery, including advanced SQL, performance tuning, and BigQuery ML
    • Dataflow / Apache Beam, including batch and streaming pipelines
    • Pub/Sub and event-driven architecture
  • Hands-on experience architecting and deploying AI solutions on GCP, including:
    • Vertex AI for model deployment, fine-tuning, evaluation, and observability
    • Gemini models for prompt engineering, structured outputs, function/tool calling, and multimodal use cases
    • BigQuery and Cloud Storage as data and grounding sources for AI workloads
    • Cloud Run, Cloud Functions, and Pub/Sub for orchestration of AI and agentic services
    • Enterprise-grade agent platforms, including grounding on customer data, integrating tools/connectors, and secure deployment patterns
  • Demonstrated experience building AI-driven and agentic solutions in production, including:
    • LLM application development
    • RAG architectures
    • Structured and unstructured data pipelines
  • Experience integrating AI systems with enterprise IT environments, including authenticated APIs, legacy data systems, and secure corporate infrastructure
  • Strong stakeholder management, written communication, and presentation skills
  • Bachelor’s degree or equivalent practical experience
  • Ability to travel within the US 25–30% as needed for client delivery

Nice to Have

  • Experience supporting public sector, government, education, or highly regulated environments
  • Experience with structured enterprise architecture practices, especially for hybrid cloud and on-premises-to-cloud migration roadmaps
  • Deep knowledge of cloud services across:
    • Compute
    • Storage
    • Networking
    • Kubernetes and containerization
  • Experience with large-scale migrations, modernization efforts, or cloud transformation programs
  • Ability to engage effectively with both technical stakeholders and executive leaders
  • Familiarity with enterprise technology evaluation, governance, and solution planning processes
  • Strong curiosity and adaptability when working with emerging technologies, methodologies, and cloud-native solutions

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

We Offer

This is a full-time position based in the United States. The offered salary range is $150,000-$215,000 annually, depending on experience and location.

Beyond a competitive compensation package, we offer:

  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training, and industry experts
  • Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow, and innovate.

Are you ready to create what’s next? Join us.

Your Application Process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

Let’s Connect

Fill in your details and kickstart your transformation journey.

Should you need an alternative format and/or communication support to provide feedback please contact Sheree Atcheson.

© Valtech. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Valtech is a global business transformation agency delivering innovation. They enable clients to a connect more directly with consumers across their digital and physical touchpoints while optimizing time-to-market and ROI.

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