GCP Enterprise Architect

Location: Brazil prefer but open all LATAM

About the Project: Technology Company

Contractor role - remote

Enterprise Architect (L5 Equivalent) with 6 to 8+ years of experience defining end-to-end systems architecture, strategic blueprints, and technical governance for large-scale enterprise transformations on Google Cloud Platform (GCP).

Key Responsibilities

Embedded Technical Authority & Trusted Advisor

• Proven track record acting as a transversal technical authority across multiple workstreams (typically allocated 40%–50% across high-stakes engagements).
• Operates as a technical shield for delivery teams—resolving cross-domain architectural deadlocks, separating reversible from irreversible design decisions, and owning the architectural narrative from Presales Scoping Docs through Technical Design Documents (TDD) and Partner Knowledge Transfer (KT).
  
  

Methodological Rigor & Executive Presence

• Data-driven skepticism (auditing metrics, tracing data provenance, and interrogating dashboards rather than just reporting them).
• Exceptional executive communication skills to defend architectural trade-offs, timelines, and commercial/technical risks before C-Level/CIO/CTO stakeholders while enabling Systems Integrators (SIs) during handover phases.
  
  

Multi-Domain Technical Depth (Architecture, Data & AI, Security)

• Cloud Foundations & Security Perimeter: Deep expertise in GCP Landing Zones, hybrid/multi-cloud connectivity, VPC Service Controls, IAM, and translating strict regulatory/compliance frameworks (Banking Closed Network, Telecom regulations, LGPD/PII) into executable security perimeters.
• Agentic AI & Conversational Platforms: Practical experience architecting enterprise GenAI and multi-agent systems (Vertex AI, Agent Studio / GECX / Customer Engagement Suite, RAG with Vertex AI Search), establishing deterministic validation gates, guardrails, and separating LLM reasoning from deterministic business logic.
• Large-Scale Data & Agentic Migrations: Strong command of BigQuery internals (partitioning, slot economics, cost optimization/FinOps), Dataform, Cloud Composer, Cloud SQL, and complex migrations from legacy/cloud estates (e.g., Azure/Databricks, AWS, On-Prem) to GCP—treating data and scope reconciliation as an architectural discipline.
• Modern App & IaC Literacy: Fluency in Terraform (IaC), GKE, Cloud Run, microservices integration patterns, and code literacy (Python/Go/Java) sufficient to review production repositories, PRs, and test suites without being the primary builder.
  
  

Requirements:

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 6+ years of experience architecting and governing large-scale enterprise solutions on Google Cloud Platform (GCP), spanning Cloud Foundations, Data & Analytics, Application Modernization, or AI/ML.
• Proven track record in Professional Services, Enterprise Architecture, or Senior Technical Consulting, translating complex commercial and business requirements into executable technical blueprints.
• Hands-on architectural proficiency across core GCP services: Compute & Serverless (GKE, Cloud Run), Data (BigQuery, Cloud SQL, Composer, Dataform), Networking & Security (VPC-SC, IAM, Secret Manager, Hybrid Connectivity), and Infrastructure as Code (Terraform).
• Code and Repository Literacy: Ability to read and evaluate production code, architecture patterns, and test suites in Python (or Java/Go) to conduct design/code reviews and validate business rules.
• Fluent Portuguese and Advanced English to lead executive and technical discussions with Brazilian enterprise customers.
  
  

Must Have Skills

• Google Cloud BigQuery
• Google Cloud Platform
• Agentic Solution Architecture (Applied)
  
  

Desired Certifications

Having at least one of these active certifications is strongly expected for Google Cloud Professional Services (PSO):

• Google Professional Cloud Architect (Core requirement)
• Google Professional Cloud Security Engineer or Data Engineer
• Google Professional Machine Learning Engineer (Desirable)