Principal Google Cloud / GCP Architect

SID Global Solutions; Exton (PA); On-site; USD 180,000 - 240,000; Full time

Job summary

SID Global Solutions seeks a senior cloud architect to design secure, scalable Google Cloud architectures for enterprise clients. You will lead cloud migration and modernization initiatives across hybrid and multi-cloud environments, and drive architecture decisions spanning GKE, Anthos, IAM, and networking.

The role requires deep experience with data platforms, API management, and enterprise AI offerings, including GenAI, Vertex AI, and API security.

Qualifications

• 12+ years of experience in software or enterprise architecture.
• 7+ years of hands-on Google Cloud architecture experience.
• Strong expertise in GCP, GKE, Cloud Run, Anthos, IAM, networking, security, and platform engineering.
• Experience with data lakes, data warehouses, and data governance.

Responsibilities

• Design and implement secure, scalable, highly available GCP architectures for enterprise customers.
• Lead cloud migration, modernization, hybrid-cloud, and multi-cloud transformation initiatives.
• Architect cloud-native platforms using GKE, Cloud Run, Anthos, Compute Engine, Cloud Storage, IAM, and GCP networking/security services.
• Develop GenAI and Agentic AI solutions using Gemini, Vertex AI, and related tools.
• Lead API and integration architecture with Apigee X/Hybrid, API Gateway, and microservices.

Skills

Cloud Architecture

Google Cloud (GCP)

GKE & Anthos

APIs & API Management

DevOps & IaC

Kubernetes

Data Platforms

Education

Bachelor’s degree in CS/Engineering

Tools

Terraform

Docker

Kubernetes

Apigee X/Hybrid

BigQuery/Data Governance tools

Job description

• Design and implement secure, scalable, highly available GCP architectures for enterprise customers.
• Lead cloud migration, modernization, hybrid-cloud, and multi-cloud transformation initiatives.
• Architect cloud-native platforms using GKE, Cloud Run, Anthos, Compute Engine, Cloud Storage, IAM, and GCP networking/security services.
• Design modern data platforms using BigQuery, Dataplex, Dataform, Datastream, Data Fusion, Pub/Sub, and Apache Spark.
• Develop GenAI and Agentic AI solutions using Gemini Enterprise, Gemini, Vertex AI, RAG, AI Agents, Enterprise Search, and multi-agent architectures.
• Lead API and integration architecture using Apigee X, Apigee Hybrid, API Gateway, microservices, event-driven architecture, and API security.
• Define architecture standards, reference architectures, reusable frameworks, and cloud engineering best practices.
• Support DevOps, platform engineering, Infrastructure as Code, CI/CD, DevSecOps, monitoring, and observability initiatives.
• Lead architecture workshops, technical discussions, solution design sessions, and proof-of-concepts with customers.
• Partner with CIOs, CTOs, architects, engineering leaders, and business stakeholders to define technology strategies and roadmaps.
• Mentor cloud architects, engineers, AI specialists, data engineers, and integration teams.

Required Qualifications

• 12+ years of experience in software engineering, cloud engineering, solution architecture, or enterprise architecture.
• 7+ years of hands-on Google Cloud architecture and implementation experience.
• Strong expertise in GCP, GKE, Cloud Run, Anthos, IAM, networking, security, and platform engineering.
• Strong experience with BigQuery, Dataplex, Dataform, Pub/Sub, Spark, data lakes, data warehouses, and data governance.
• Hands-on experience with Gemini Enterprise, Vertex AI, Generative AI, Agentic AI, RAG, AI Agents, and enterprise AI platforms.
• Strong expertise in Apigee X/Hybrid, API Management, API Security, API Governance, and enterprise integration.
• Experience with Kubernetes, Docker, Terraform, Infrastructure as Code, CI/CD, DevSecOps, and cloud automation.Knowledge of enterprise architecture, application modernization, data architecture, integration architecture, and security architecture.
• Strong communication, presentation, consulting, and stakeholder management skills.

Preferred Skills

• Google Cloud Professional Cloud Architect certification.
• Apigee, TOGAF, CKA/CKAD certifications.
• Experience with Java/Spring Boot, Python/FastAPI, REST APIs, GraphQL, React, Angular, or Node.js.
• Experience working with enterprise customers across financial services, healthcare, retail, manufacturing, telecom, or public sector.
• Experience building cloud accelerators, reusable frameworks, enterprise AI platforms, and modernization solutions.

Key Technology Areas

GCP:

GKE, Cloud Run, Anthos, BigQuery, Dataplex, Pub/Sub, Cloud Storage, IAM

AI:

Gemini Enterprise, Vertex AI, GenAI, Agentic AI, RAG, AI Agents

Data:

BigQuery, Dataform, Datastream, Data Fusion, Spark, Data Governance