GCP Solutions Architect

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.   The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.   We are proud of:   The work we do and the innovation we drive   Our values of share, care a nd dare   Our borderless, global framework, which enables seamless collaboration   The role    We are seeking a  GCP Solution Architect  to lead the design and delivery of enterprise-scale cloud solutions within a public sector environment.   This is a  hands-on, embedded role  where you will work directly with client engineering teams to architect, design, and implement scalable, secure, and resilient cloud solutions. You will serve as both a  technical leader and trusted advisor , guiding architecture decisions, influencing delivery outcomes, and helping stakeholders translate complex technical requirements into practical business solutions.   This role is ideal for someone who is equally comfortable working with engineers on implementation details and engaging senior stakeholders on roadmaps, trade-offs, and transformation strategy.   Role 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   Must have qualifications To be considered for this role, you must meet the following essential qualifications:   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   Google Cloud Professional Cloud Architect (PCA) certification  required   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 qualifications   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, metho