// google_cloud_consulting

Google Cloud Consulting Services for Data-Heavy Platforms

Virginia-based Google Cloud consulting: GCP migration, GKE platform engineering, BigQuery data platforms, Vertex AI enablement, and GCP cost optimization. On-site VA/DC/MD, remote across the US and Canada.

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What Our Google Cloud Consultants Deliver

Foundation

GCP Foundations & Org Design

Resource hierarchy, Shared VPC networking, org policies, and Terraform-managed project vending so every new workload starts inside the same guardrails.

Migration

Migration to Google Cloud

Migration Center assessments, VM and database moves to Compute Engine and Cloud SQL, and phased cutovers with tested rollback for each application wave.

Platform

GKE & Cloud Run Platform Engineering

Autopilot or standard GKE clusters, Cloud Run services, Workload Identity, Config Sync GitOps, and golden paths your engineers ship against immediately.

Data

BigQuery & Data Platform Engineering

BigQuery warehouse design, Dataflow and Dataform pipelines, partitioning and clustering for query cost control, and Looker-ready semantic models.

AI

Vertex AI & ML Enablement

Vertex AI pipelines, private Gemini and open-model deployment inside your VPC-SC perimeter, feature stores, and evaluation harnesses for production models.

Compliance

GCP Security & Cost Optimization

VPC Service Controls, IAM least privilege, Security Command Center baselines, committed-use discount modeling, and per-project cost attribution.

Frequently asked questions

What does a Google Cloud consulting engagement cost?
GCP engagements generally run between $35,000 and $220,000 depending on data volume, workload count, and compliance scope. Our ROM estimator returns a same-day budget range before any call.
How long does a GCP migration take?
Foundations and org design usually take 4 to 6 weeks. Workload and data migration commonly runs 3 to 9 months depending on data gravity and downtime tolerance.
Can you cut our BigQuery costs?
Yes. We tune partitioning and clustering, replace scan-heavy patterns with materialized views, set slot reservations where predictable, and add per-team query budgets and alerting.
Do you deploy AI models on Google Cloud without exposing our data?
We deploy Vertex AI and open models inside your own project and VPC Service Controls perimeter, so proprietary data never leaves your security boundary.
Do you work on-site in Virginia and the DC metro?
Yes. We are Virginia-based with on-site delivery across Virginia, Washington D.C., and Maryland, plus remote B2B engagements throughout the United States and Canada.