Google Solutions Architect

Valtech • New York, NY

1d • $200,000 - $270,000

About The Position

Valtech is hiring a senior Google Solutions Architect to lead enterprise cloud transformation initiatives and design and implement secure, scalable, data-driven, GCP-native solutions across security, data, analytics, and platform services. The role requires technical thought leadership with minimal direction, hands-on Google Cloud engineering and architecture experience, strong communication and leadership skills, and the ability to solve complex business and technology challenges collaboratively.

The architect will guide cloud architecture, data engineering, and security; build data processing pipelines; shape security architecture and enterprise GCP policies; and advance DevOps, deployment, observability, compliance, governance, and system performance. The role also includes designing agentic AI solutions, translating business needs into architectural blueprints and technical stories, mentoring engineers, reviewing designs, and serving as the technical authority for GCP architecture decisions.

The position is full-time and based in New York City, with remote and hybrid work options depending on country. The stated annual salary range is USD 200,000–270,000, depending on experience and location. Valtech describes its environment as focused on continuous learning, meaningful impact, professional growth, international careers, inclusion, and collaboration.

Requirements

• At least 8 years of experience in cloud architecture and engineering, with a strong focus on Google Cloud Platform.
• A proven track record of leading enterprise-scale cloud projects and data platforms.
• CISSP or CISM certification.
• Deep technical knowledge of Google BigQuery, Pub/Sub, Dataflow, and Cloud Storage.
• Deep technical knowledge of Cloud Functions, Cloud Run, and GKE.
• Deep technical knowledge of IAM, IAP, and Organization Policy Service.
• Deep technical knowledge of Cloud Logging and Monitoring.
• Deep technical knowledge of Vertex AI, Gemini Enterprise, Looker, and Google Workspace.
• Deep technical knowledge of GCP Networking and Cloud Repositories.
• Strong development background in Java and Apache Beam, Python, and Terraform.
• Experience with standard logging formats and text/log-based processing.
• Strong understanding of secure design principles and cloud governance.
• Excellent communication skills and ability to present technical concepts to technical and non-technical audiences.

Nice To Haves

• Experience in Agile or consulting environments.
• Familiarity with Logscale (formerly Humio), Secureonix, Syslog-NG, SCC, SecOps, or WIZ.
• Prior experience with security operations, SIEM integration, or threat modeling in cloud environments.
• Experience leading small to medium-sized development teams of 6–8 engineers.
• Prior involvement in enterprise data governance, metadata management, or cloud-native data lakes.
• Hands-on experience implementing AI/ML solutions using Vertex AI.
• Enthusiasm for DevSecOps, serverless frameworks, and next-generation cloud-native tooling.
• Bachelor’s degree in Engineering, Computer Science, or a related discipline.

Responsibilities

• Architect and lead the implementation of secure, scalable, cloud-native solutions on Google Cloud Platform.
• Provide technical thought leadership and expert guidance across cloud architecture, data engineering, and security.
• Design and integrate data-processing pipelines using tools such as Dataflow, BigQuery, Pub/Sub, and Apache Beam.
• Guide security architecture using Google IAM, Identity-Aware Proxy, Organization Policy Service, and Cloud Logging and Monitoring.
• Champion DevOps practices, CI/CD, and modern deployment methods using Cloud Functions, Cloud Run, Kubernetes (GKE), and Cloud Repositories.
• Design and architect agentic AI solutions to automate complex workflows and produce measurable efficiency gains for clients and internal teams.
• Collaborate with stakeholders to translate business requirements into architectural blueprints and technical stories.
• Introduce and implement enterprise-grade policies for GCP networking, resource governance, and secure access.
• Drive adoption of observability and compliance tooling with Google Cloud Operations, Vertex AI, and Looker.
• Promote data integrity, governance, and reliability across GCP and Google Workspace ecosystems.
• Evaluate usage metrics, optimize architectures, and continuously improve system performance.
• Mentor engineers, review designs, and serve as the technical authority for GCP architecture decisions.

Benefits

• Remote and hybrid work options, depending on country.
• International mobility and professional development programs.
• Access to tools, training, and industry experts for learning and development.
• Medical, dental, and vision insurance for employees and their families.
• Employer contributions to Health Savings Accounts.
• Competitive compensation package.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed