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Valtech

Google Solutions Architect

  • Hybrid
  • 6+ years

Salary

$200,000 - 270,000/ year

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Description

The company is an experience innovation firm and a trusted partner to some of the world's best-known brands. Clients include L'Oréal, Mars, Audi, P&G, Volkswagen and Dolby.

The team works across data, AI, creative and technology to change how clients' industries operate.

The company offers growth paths, international careers and a culture built on its values of share, care and dare, plus a global, borderless setup that makes collaboration easy.

The role centres on continuous learning, real impact and professional growth, whether you are building new digital products, questioning old assumptions or designing the next generation of customer experiences.

Responsibilities

  • You bring 10+ years of experience, a growth mindset and a drive to leave a lasting mark.
  • You are senior enough to lead technical thinking with little direction, have hands-on work with Google Cloud engineering and architecture, and care about secure, scalable, data-driven systems.
  • You will lead the design and delivery of GCP-native solutions for enterprise cloud transformation across security, data, analytics and platform services.
  • You are a curious problem solver who questions the status quo, a collaborator who shares knowledge, and someone interested in where technology, creativity and data meet.
  • Design and lead the build of secure, scalable, cloud-native solutions on Google Cloud Platform (GCP).
  • Give thought leadership and expert advice across cloud architecture, data engineering and security.
  • Design and connect data processing pipelines using DataFlow, BigQuery, Pub/Sub and Apache Beam.
  • Shape security architecture with Google IAM, Identity-Aware Proxy, Organization Policy Service and Cloud Logging and Monitoring.
  • Promote DevOps, CI/CD and modern deployment practices using Cloud Functions, Cloud Run, Kubernetes (GKE) and Cloud Repositories.
  • Design and architect agentic AI solutions that automate complex workflows and deliver measurable efficiency gains for clients and internal teams.
  • Turn business needs into architectural blueprints and technical stories together with stakeholders.
  • Set and roll out enterprise-grade policies for GCP networking, resource governance and secure access.
  • Lead adoption of observability and compliance tooling with Google Cloud Operations, Vertex AI and Looker.
  • Support data integrity, governance and reliability across GCP and Google Workspace.
  • Review usage metrics, tune architectures and keep improving system performance.
  • Mentor engineers, review designs and act as the final technical authority on GCP architecture decisions.

Requirements

  • The following are essential qualifications:
  • 8+ years in cloud architecture and engineering, with a strong focus on Google Cloud Platform.
  • A record of leading enterprise-scale cloud projects and data platforms.
  • CISSP or CISM certification.
  • Solid technical knowledge of Google BigQuery, Pub/Sub, DataFlow and Cloud Storage.
  • Solid technical knowledge of Cloud Functions, Cloud Run, GKE, IAM, IAP, Organization Policy Service and Cloud Logging and Monitoring.
  • Solid technical knowledge of Vertex AI, Gemini Enterprise, Looker, Google Workspace, GCP Networking and Cloud Repositories.
  • Strong development skills in Java with Apache Beam, Python and Terraform.
  • Experience with standard logging formats and text or log-based processing.
  • A strong grasp of secure design principles and cloud governance.
  • Strong communication and leadership skills are required, including explaining technical ideas to both technical and non-technical audiences.
  • Familiarity with Logscale (formerly Humio), Secureonix, Syslog-NG, and SCC, SecOps and WIZ.
  • Past work in security operations, SIEM integration or threat modelling in cloud environments.
  • Experience leading small to medium development teams of 6-8 engineers.
  • Past involvement in enterprise data governance, metadata management or cloud-native data lakes.
  • Hands-on experience building AI/ML solutions with Vertex AI.
  • Enthusiasm for DevSecOps, serverless frameworks and next-generation cloud-native tooling.
  • Bachelor's degree in Engineering, Computer Science or a related discipline.
  • Experience with Agile methods or consulting work is a plus.
  • You can still apply if you have gaps against the list, as the company values varied talent, diverse perspectives and a willingness to learn.

Conditions

Full-time role based in New York City, US.

Salary range of 200k-270k USD a year, depending on experience and location.

Remote and hybrid options are available, depending on country.

Applicants are judged on skills, experience and potential, and reasonable accommodations are available during interviews on request.

Benefits

  • Competitive compensation package beyond base salary.
  • Career advancement, including international mobility and professional development programs.
  • Learning and development with access to current tools, training and industry experts.
  • Medical, dental and vision insurance for you and your family, plus employer contributions to Health Savings Accounts.
  • Benefits vary by location, and your Talent Partner will provide full details during hiring.

Where you’d work

Part of the week in the office

The office

About the company

Valtech

Office in New York City, United States

Also hiring in London, United Kingdom and Paris, France

16 of their 21 open roles are remote

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • Java
  • Google Cloud
  • Kubernetes
  • Terraform
  • CI/CD
Type
Full-time
Specialty
Solutions Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Experience
10+ years
Tech stack
  • Python
  • Java
  • Google Cloud
  • Kubernetes
  • Terraform
  • CI/CD

Location

Work model
Hybrid
Region
United States
Office
  • New York City, United States

Compensation

Salary
$200,000 - 270,000 / year
Pay period
Annual

Employment

Type
Full-time

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