GCP Solutions Architect

Valtech

9h • $150,000 - $215,000 • Hybrid

About The Position

Valtech is 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.

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
• 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 Haves

• 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

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior