GCP Solution Architect

Job Description: GCP Solution Architect

Role Summary

We are seeking an experienced GCP Solution Architect to design, govern, and deliver scalable, secure, and cost-optimized cloud solutions on Google Cloud Platform (GCP). The role requires strong architectural depth, hands-on cloud experience, and the ability to translate business requirements into enterprise-ready cloud architectures.

This role focuses on end-to-end solution design, cloud modernization, governance, and stakeholder alignment.

Key Responsibilities

• Design end-to-end cloud solutions on GCP across data, application, integration, and AI/ML workloads
  • Create reference architectures, solution blueprints, and design patterns aligned with enterprise standards
  • Lead cloud adoption initiatives including migration, modernization, and cloud-native development
  • Ensure non-functional requirements such as security, scalability, resilience, performance, and cost efficiency are met
  • Design architectures using GCP services including Cloud Run, GKE, Compute Engine, BigQuery, Dataflow, Pub/Sub, Vertex AI, and API Gateway
  • Apply cloud security best practices including IAM, VPC design, encryption, and compliance controls
  • Act as a technical advisor to delivery teams and business stakeholders
  • Review and guide solution designs and present architecture proposals to senior stakeholders

Required Skills & Experience

• 6+ years of IT experience with at least 5+ years designing solutions on Google Cloud Platform
  • Proven experience as a GCP Solution Architect or Cloud Architect
  • Strong understanding of distributed systems, cloud architecture patterns, and enterprise integration
  • Hands-on expertise with GCP services across compute, data, integration, and AI/ML
  • Experience designing secure, scalable, and cost-optimized cloud solutions
  • Ability to translate business requirements into technical architectures

Good to Have

• Experience with SAP workloads on GCP including SAP BW, ECC, or S/4HANA
  • Exposure to AI/ML and Generative AI solution architectures
  • Multi-cloud experience on AWS or Azure
  • Google Cloud certifications such as Professional Cloud Architect