Google Cloud Partner
SNOK designs and implements solutions on the Google Cloud Platform. Workload migrations, SAP on GCP, BigQuery as a data platform, and Vertex AI for AI/ML tasks in regulated sectors.
Who you'll be working with
SNOK holds Google Cloud Partner status and delivers migration projects to GCP, BigQuery implementations, and Vertex AI deployments. We work with enterprise clients for whom GCP is either part of a multi-cloud architecture (alongside Azure or AWS) or the primary cloud platform.
The SNOK Google Cloud team combines cloud-native, SAP, and security expertise. As a result, a GCP project connects with the client's stack: SAP on GCP is designed together with the SAP team, BigQuery is integrated with existing warehouses, and Vertex AI is deployed within an architecture compliant with the AI Act and the client's policy.
Google Cloud support areas
Workload migrations to Google Cloud (Compute Engine, GKE, Cloud Run). Multi-cloud architectures with Azure and AWS. We work with Anthos for hybrid scenarios and Migrate to Containers. Every migration is preceded by a TCO assessment.
SAP implementations on GCP compliant with SAP Certified Workloads. HA architectures for SAP HANA with Workload Manager, backups to Cloud Storage, and integrations with BigQuery for reporting. Our SAP and GCP teams work together.
BigQuery implementations as an analytical warehouse, integrations with Google Analytics, Salesforce, and SAP. Data models aligned with dbt, dataform, and Looker. Governance in Dataplex with row-level security policies.
Vertex AI implementations for classification, embeddings, and RAG tasks on client data. Gemini Enterprise as an AI assistant for business operations. Every AI project undergoes a mandatory AI Security review in line with the AI Act.
What sets SNOK apart in Google Cloud
SNOK works with Azure, GCP, and AWS - remaining independent of any single provider. As a result, a recommendation for GCP in a given project follows technical and economic analysis. Certain workloads (BigQuery for analytics, Vertex AI for LLMs) have a clear advantage in GCP - others are better kept in Azure or on-premise.
On Vertex AI and Gemini Enterprise projects, we run an AI Security review together with the SNOK cybersecurity team. We analyse the lethal trifecta, data exposure through prompt injection, and AI Act compliance. For regulated sectors, this is a condition for production deployment.
Google Cloud case studies
A manufacturing-sector client
Migration of SAP S/4HANA to Google Cloud, integration with BigQuery for management reporting
A retail-sector client
Implementation of BigQuery as the central analytical warehouse, predictive models in Vertex AI
A corporate group
Multi-cloud architecture with GCP as the analytics platform and Azure as the operational platform
We're happy to discuss full case studies and further projects in a 1:1 conversation - with numbers, decision context and the path to business impact.
Frequently asked questions
Yes. We implement SAP on GCP in line with SAP Certified Workloads, design HA architectures for SAP HANA, and build integrations with BigQuery for reporting.
It depends on the existing stack and scenario. SNOK carries out an analysis in terms of TCO, integration with data sources, and AI/ML requirements. We often recommend a multi-cloud approach (BigQuery for native GCP analytics, Snowflake for hybrid scenarios).
Yes, provided the architecture is correctly designed. SNOK runs an AI Security review (lethal trifecta, prompt injection, data exposure) and verifies AI Act compliance before production deployment.
Yes. We work with Gemini Enterprise as an AI assistant for business operations, with a focus on auditability, governance, and compliance with client policies.
