Google Solutions Architect
Core
Architect and lead the implementation of secure, scalable, cloud-native solutions on Google Cloud Platform (GCP) for enterprise clients.
Role type
Senior Google Cloud Solutions Architect
Builds
Enterprise cloud transformation initiatives, GCP-native solutions, agentic AI solutions, and data processing pipelines.
Domain
Cloud Computing / Data Engineering / Cybersecurity
Deliverable
production ML models
Required skills
Google Cloud Platform (GCP) architecture, Data engineering, Security architecture, DevOps practices, Cloud-native AI/ML, System design, Technical leadership, Agile methodologies, Stakeholder management
Preferred skills
Security operations (SIEM, threat modeling), Team leadership (6-8 engineers), Enterprise data governance, DevSecOps, Serverless frameworks
Technologies
Google BigQuery, Pub/Sub, DataFlow, Cloud Storage, Cloud Functions, Cloud Run, GKE, IAM, IAP, Organization Policy Service, Cloud Logging, Monitoring, Vertex AI, Gemini Enterprise, Looker, Google Workspace, Terraform, Java, Apache Beam, Python
Responsibilities
Architect and lead the implementation of secure, scalable, cloud-native solutions on 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; 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.
Seniority
Senior, hands-on IC with thought leadership
