Why Hire GCP Architects from DRC?
Our Google Cloud architects hold professional certifications and have designed data-intensive infrastructure for companies that rely on analytics, machine learning, and real-time processing. They bring hands-on expertise across the full GCP ecosystem with a strong focus on data and AI workloads.
- ✓Google Cloud Professional Cloud Architect certification
- ✓Deep expertise in BigQuery, GKE, Dataflow, and Vertex AI
- ✓Proven experience building petabyte-scale data platforms
- ✓Strong background in Kubernetes and container orchestration
- ✓Experience with multi-cloud and Anthos hybrid deployments
- ✓Cost optimization through committed use discounts and right-sizing
Skills & Expertise
Compute Engine
Design and manage virtual machine infrastructure with custom machine types, managed instance groups, sole-tenant nodes, and preemptible VMs for cost-efficient compute.
BigQuery
Architect serverless data warehouses with BigQuery featuring partitioning, clustering, materialized views, and ML integration for petabyte-scale analytics at blazing speed.
GKE & Kubernetes
Deploy and manage containerized applications on Google Kubernetes Engine with Autopilot, Anthos Service Mesh, and Config Sync for enterprise-grade orchestration.
Cloud AI & Vertex AI
Build and deploy machine learning models using Vertex AI, AutoML, and custom training pipelines with integrated model monitoring and feature stores.
Dataflow & Stream Processing
Build real-time and batch data processing pipelines using Dataflow and Apache Beam for ETL, event processing, and analytics at any scale.
Security & Compliance
Implement GCP security best practices with VPC Service Controls, Cloud Armor, Identity-Aware Proxy, and organization policies for defense-in-depth protection.
Flexible Hiring Models
Hourly
- ✓Best for architecture reviews
- ✓No minimum commitment
- ✓Pay only for hours worked
- ✓Access to certified architects
- ✓Flexible scheduling
Monthly
- ✓Dedicated GCP architect
- ✓160 hours per month guaranteed
- ✓Daily syncs and weekly demos
- ✓Priority communication channel
- ✓20% savings over hourly rate
Full-Time
- ✓Fully embedded team member
- ✓Long-term data strategy partner
- ✓Complete team integration
- ✓Dedicated project manager
- ✓Best value for ongoing projects
Our Hiring Process
Define Your Data Goals
Share your GCP environment, data platform requirements, analytics needs, and the specific cloud expertise your team needs.
Architect Matching
We match you with Google-certified architects whose experience in data engineering, ML, or infrastructure aligns with your project.
Technical Assessment
Evaluate shortlisted candidates through GCP architecture design exercises and deep-dive discussions on data platform patterns.
Rapid Onboarding
Your selected architect gains access to your GCP projects, data pipelines, and tools to begin contributing within days.
Continuous Impact
Your architect delivers data platform improvements with architecture decision records, cost reports, and regular sprint demos.
Tech Stack Proficiency
BigQuery
GKE
Cloud Functions
Dataflow
Pub/Sub
Terraform
Anthos
Vertex AI
Cloud SQL
Spanner
Cloud Run
Apigee
Looker
Dataproc
Cloud Armor
Frequently Asked Questions
What Google Cloud certifications do your architects hold?
Can your architects handle BigQuery at petabyte scale?
Do your GCP architects work with multi-cloud setups?
How do your architects integrate AI and ML into cloud architecture?
What industries have your GCP architects served?
Start Hiring in 48 Hours
Get a pre-vetted professional onboarded and delivering value to your project within two business days. Zero recruitment overhead.
