We are seeking an experienced GCP Solution Architect with 15+ years of comprehensive experience in cloud infrastructure, data solutions, application development, modernization, and DevOps practices. This role requires a strategic thinker with strong pre-sales acumen and the ability to architect complex cloud solutions while driving business value for clients.
Key Responsibilities
Solution Architecture & Design
Design and architect end-to-end GCP cloud solutions including infrastructure, data platforms, and application architecture
Lead application modernization initiatives, including migration strategies from on-premises to GCP and containerization
Develop cloud-native architecture leveraging GCP services such as GKE, Cloud Run, App Engine, Cloud Functions, and Anthos
Create technical roadmaps and architecture blueprints aligned with business objectives
Ensure solutions follow best practices for security, scalability, reliability, and cost optimization
Pre-Sales & Client Engagement
Lead technical discussions during pre-sales engagements and client meetings
Conduct discovery sessions to understand client requirements and pain points
Develop compelling technical proposals and solution presentations
Create proof-of-concepts (POCs) and technical demonstrations
Provide effort estimation and solution sizing for proposed architectures
Address technical objections and provide clarifications during sales cycles
SOW Development & Documentation
Write comprehensive Statements of Work (SOW) with detailed scope, deliverables, timelines, and assumptions
Define project phases, milestones, and success criteria
Document technical architecture, design decisions, and implementation approaches
Create high-level and low-level design documents
Develop architecture decision records (ADRs) and technical specifications
Data & Analytics
Design data architecture using BigQuery, Cloud SQL, Cloud Spanner, Bigtable, and Firestore
Architect data lakes, data warehouses, and data pipelines on GCP
Implement ETL/ELT solutions using Dataflow, Dataproc, Cloud Composer, and Pub/Sub
Design analytics and business intelligence solutions
Implement data governance, security, and compliance frameworks
DevOps & Automation
Design and implement CI/CD pipelines using Cloud Build, Jenkins, GitLab CI, or similar tools
Architect infrastructure-as-code solutions using Terraform, Deployment Manager, or Pulumi
Implement monitoring and observability solutions using Cloud Monitoring, Cloud Logging, and Cloud Trace
Design containerization and orchestration strategies using Docker and Kubernetes (GKE)
Establish DevOps best practices including GitOps, site reliability engineering (SRE), and automation
Leadership & Collaboration
Mentor junior architects and technical teams
Collaborate with cross-functional teams including developers, data engineers, and operations
Provide technical leadership throughout project lifecycles
Stay current with GCP innovations and industry trends
Participate in architecture review boards and governance discussions
Required Qualifications
Experience
15+ years of overall IT experience with significant focus on cloud technologies
5+ years of hands-on experience with Google Cloud Platform
Proven track record in pre-sales activities and client-facing roles
Extensive experience in SOW creation and technical documentation
Experience with large-scale enterprise cloud migrations and transformations
Google Cloud Professional Cloud Architect
Google Cloud Professional Data Engineer
Google Cloud Professional DevOps Engineer
Google Cloud Professional Security Engineer
Additional relevant certifications are a plus
Soft Skills
Excellent communication and presentation skills
Strong stakeholder management abilities
Analytical thinking and problem-solving expertise
Ability to translate business requirements into technical solutions
Experience working in agile environments
Customer-focused mindset with consultative approach
Preferred Qualifications
Experience with multi-cloud architecture (AWS, Azure)
Knowledge of application modernization patterns and microservices
Familiarity with data science and ML/AI workloads on GCP (Vertex AI, AI Platform)
* Experience with compliance frameworks (HIPAA, PCI-DSS, GDPR, SOC 2)
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