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# Google Solutions Architect

- **Company:** Valtech
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Cloud Storage, Cyber Security, Continuous Integration, Information Engineering, Data Governance, Data Integrity, DevOps, Data Flow Control, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, Cloud Services, Gemini Enterprise (Agent Platform), Security Information and Event Management, Data Logging, Google Cloud, Cloud Platform System, Kubernetes, Information Technology, Data Analytics, Google Bigquery, Gsuite, Terraform, Looker Analytics, Data Pipelines, Apache Beam
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_0380ec3f2bc11f62fabd6668a1a31059

## About the Role

As aGoogle Solutions Architect, you are passionate about experience innovation and eager to push the boundaries of what's possible. You bring 10+ YEARSof experience, a growth mindset and a drive to make a lasting impact.

The ideal candidate is senior enough to provide technical thought leadership with minimal direction, has hands-on experience with Google Cloud engineering and architecture, and is passionate about building secure, scalable, data-driven systems.

You will work on enterprise cloud transformation initiatives, leading the design and implementation of GCP-native solutions across security, data, analytics, and platform services. The ideal candidate is collaborative, analytical, and ready to solve complex business and technology challenges. Strong communication and leadership skills are a must .

Experience in Agile or consulting environments is a plus. If you're a strategic thinker who thrives in a fast-paced, innovation-driven setting- - read on!

You will thrive in this role if you are:

 * A curious problem solver who challenges the status quo
 * A collaborator who values teamwork and knowledge-sharing
 * Excited by the intersection of technology, creativity and data
 * Experienced in Agile methodologies and consulting (a plus), * 8+ years of experience in cloud architecture and engineering, with a strong focus on Google Cloud Platform
 * CISSP or CISM certification
 * Deep technical knowledge of the following GCP services:
 + Google BigQuery , Pub/Sub, DataFlow , Cloud Storage
 + Cloud Functions, Cloud Run, GKE
 + IAM, IAP, Organization Policy Service
 + Cloud Logging and Monitoring
 + Vertex AI, Gemini Enterprise , Looker, Google Workspace
 + GCP Networking, Cloud Repositories
 * Python
 * Terraform
 * Standard logging formats and text/log-based processing
 * Strong understanding of secure design principles and cloud governance
 * Excellent communication skills and the ability to present technical concepts to both technical and non-technical audiences, * Prior experience with security operations, SIEM integration, or threat modeling in cloud environments
 * Experience leading small to medium-sized development teams (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
 * Bachelor's Degree in Engineering , Computer Science, or a related discipline

## Description

* Architect and lead the implementation of secure, scalable, cloud-native solutions on Google Cloud Platform (GCP)
 * Provide thought leadership and expert guidance across cloud architecture, data engineering, and security domains
 * Design and integrate data processing pipelines using tools like 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 that automate complex workflows and drive measurable efficiency gains for clients and internal teams.
 * Collaborate with stakeholders to translate business requirements into architectural blueprints and technical stories
 * 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 performanceMentor engineers, review designs, and serve as the technical authority for GCP architecture decisions