BigQuery, Vertex AI, and GKE are where Google Cloud actually wins — our GCP consultants design architecture around data and machine learning workloads, not a generic lift-and-shift template.
About This Service
Google Cloud isn't the platform you choose for the broadest service catalog — it's the platform you choose when data and machine learning are core to the product. iMOBDEV's Google Cloud consultants specialize in exactly that profile: BigQuery-centric data warehouse architecture, Vertex AI pipeline design for teams building ML products, and GKE cluster architecture from a team that has spent years operating Kubernetes in production. We run GCP Well-Architected reviews, design data platforms that scale from gigabytes to petabytes without a re-architecture, and advise on when Cloud Run or Cloud Functions beat GKE for a given workload. Consulting engagements typically start with a data and workload audit — what's actually flowing through your systems — because on GCP, the right architecture decision usually comes down to how you move, store, and query data, not just where you run compute. You get an architecture blueprint tuned to GCP's actual strengths, not a generic cloud strategy deck.
What's Included
A full breakdown of every deliverable — no hidden extras, no scope surprises.
Assessment against Google Cloud's Well-Architected Framework pillars — including reliability, cost, and performance — with a prioritized remediation roadmap
Data warehouse design on BigQuery including partitioning and clustering strategy, cost-control via slot reservations, and ELT pipeline architecture with Dataflow
ML pipeline architecture on Vertex AI — feature stores, model training pipelines, and MLOps design for teams moving machine learning from notebooks to production
Cluster architecture, node pool strategy, and workload placement guidance for GKE, Google's managed Kubernetes platform
Build-vs-buy guidance on Cloud Run versus Cloud Functions versus GKE for each workload, avoiding over-engineering simple services onto a Kubernetes cluster
Committed use discount analysis, BigQuery slot optimization, and IAM least-privilege review across projects and folders
Why Work With Us
Our Vertex AI and BigQuery guidance comes from architects who've shipped production ML pipelines, not consultants reciting Google's marketing pages back to you.
On GCP, most cost and performance problems trace back to data movement and storage decisions — we start there instead of jumping straight to compute sizing.
We'll tell you when a Cloud Run service is the right call instead of defaulting every workload to a Kubernetes cluster it doesn't need.
Partitioning, clustering, and slot reservation strategy are part of the initial data warehouse design — not a query-optimization fire drill after the first surprise bill.
Project and folder-level IAM boundaries, data access policies, and audit logging are designed into the architecture before workloads go live, not retrofitted.
Deep dive into your goals, users, and constraints. Deliverable: detailed project brief and technical specification.
System architecture, API contracts, UI/UX wireframes reviewed with your team before a line of code is written.
2-week sprints with daily standups. Working software demonstrated every sprint — full visibility throughout.
Automated unit and integration tests plus manual QA each sprint. Zero critical bugs shipped to production.
CI/CD pipeline, cloud provisioning, zero-downtime deployment. Launch day is never a surprise.
Post-launch monitoring, performance optimization, and ongoing feature roadmap execution.
Engagement Models
Three ways to engage — pick what fits your project, timeline, and budget.
One or more senior developers assigned full-time to your project — embedded in your workflow, shipping on your timeline.
Pay as you go. Ideal for short bursts, quick iterations, or when scope is still taking shape.
Defined scope, locked budget, predictable delivery date. No surprises — just a clear SOW and milestone sign-offs.
Free consultation · No commitment · Response within 1 business day
Industries
We bring deep domain knowledge across every major industry vertical — not just technical execution.
We don't retrofit AI; we design for it from day one — architecture, data, and UX.
Agile sprints with clear milestones, transparent reporting, and zero deadline surprises.
No hidden costs. Fixed-price or dedicated team models — you choose what fits.
India-based delivery excellence with US and UAE client engagement offices.
ISO 27001-compliant, NDA-ready, GDPR-aware — secure by design at every layer.
We're a long-term partner, not a one-and-done vendor. We grow as you grow.
Client Stories
“iMOBDEV delivered our AI-powered fintech app 2 weeks ahead of schedule. The quality is exceptional — it feels like a product from a top Silicon Valley company.”
Sarah Mitchell
CTO, PayEdge Finance
Insights
Let's Build Together
Tell us what you're building. Our team will review your requirements and get back to you with a detailed approach — no generic proposals, no overselling.
4.9/5
Clutch Rating
200+
Happy Clients
17+
Years Experience
