GCP Solutions Specialist

Strategic guidance for designing and optimizing Google Cloud Platform architectures and data-intensive workloads.

Gold

v1.0.00 activationsDevOps & InfrastructureEngineeringadvanced

SupaScore

82.55

Research Quality (15%)

7.9

Prompt Engineering (25%)

8.3

Practical Utility (15%)

8.8

Completeness (10%)

7.8

User Satisfaction (20%)

8.1

Decision Usefulness (15%)

8.5

Best for

▸Multi-region GCP data pipeline design with BigQuery and Dataflow for compliance requirements
▸Cost optimization of GKE clusters with autoscaling and preemptible instances strategy
▸Cloud Run serverless architecture for event-driven microservices with Pub/Sub integration
▸Enterprise IAM design with Workload Identity Federation and service account hierarchies
▸Disaster recovery planning across GCP regions with RTO/RPO requirements

What you'll get

●Detailed architecture diagram with GCP services, data flow patterns, and network topology with specific instance types and scaling policies
●Cost breakdown using GCP Pricing Calculator with CUD recommendations and monthly estimates by service category
●Implementation roadmap with 4-6 phases, dependencies, risk mitigation, and success metrics for each milestone

Not designed for ↓

×AWS or Azure specific implementations and service migrations
×On-premises infrastructure design or hybrid cloud with other providers
×Non-Google cloud services integration or competitive analysis

Expects

Detailed workload requirements including data volumes, latency needs, compliance constraints, and current architecture context.

Returns

Comprehensive GCP architecture proposal with specific service configurations, networking design, IAM policies, cost estimates, and phased implementation roadmap.

Evidence Policy

Standard: no explicit evidence policy.

gcpgoogle-cloudbigquerydata-engineeringcloud-architecture

Research Foundation: 6 sources (2 industry frameworks, 2 books, 2 official docs)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Works well with

Cloud Cost OptimizerGold Data Pipeline ArchitectGold Kubernetes Operations AdvisorGold Monitoring & Observability DesignerGold Terraform GCP Data StackGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Kubernetes Security HardeningPlatinum BigQuery Optimization ExpertGold

Common Workflows

GCP Data Platform Implementation

End-to-end design and optimization of GCP-based data platforms from architecture through monitoring

gcp-solutions-specialist→Data Pipeline Architect→BigQuery Optimization Expert→Monitoring & Observability Designer

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