Snowflake Partner
SNOK designs and implements solutions on the Snowflake Data Cloud. Migrations from on-premise warehouses, integrations with SAP, governance, and Cortex AI - with a focus on auditability and operating cost.
Who you'll be working with
SNOK holds Snowflake Partner status and delivers data warehouse migration projects, integrations with source systems, and AI/ML implementations on the Snowflake platform. We work with clients for whom data is an operational asset - driving business decisions in real time.
The SNOK data team combines SAP, data engineering, and security expertise. As a result, a Snowflake project forms a coherent part of the stack - integration with SAP BW, S/4HANA, Microsoft Fabric, or Google Cloud Storage is designed as an architectural component, and Snowflake operating cost is measured from day one.
Snowflake support areas
Migrations from on-premise warehouses (Teradata, Oracle, SAP BW) to Snowflake. Data models in the data vault or Kimball pattern, RBAC policies, and GDPR-compliant auditing. Every migration is preceded by a 12-month compute-layer cost assessment.
Integrations of Snowflake with SAP BW, SAP Datasphere, and S/4HANA via SAP HANA Cloud Replication and CDC. Pipelines built on Fivetran, Airbyte, or native Snowpipe. Data quality rules and lineage tracked through Collibra or native Snowflake Horizon.
Snowflake as a knowledge base for AI environments: Cortex Search (semantic search), vector embeddings, and RAG on the client's business data. Native vector data type in Snowflake. Architectures that keep data within the Snowflake cloud - critical for regulated sectors. LLMs run within an isolated network, audited for AI Act compliance.
Governance implementations in Snowflake Horizon: data masking, row access policies, tagging of sensitive columns, and query auditing. Integrations with Microsoft Purview and Collibra. Compliance with GDPR, NIS2, and the client's internal policies.
What sets SNOK apart in Snowflake
Most Snowflake partners in Poland began in pure data engineering, focused on ETL and general-purpose warehouses. Most SAP partners focus on ERP, leaving analytical data to other providers. SNOK combines both areas of expertise - which is why data warehouse projects at SAP-driven organisations run more smoothly. The architect understands where the data in S/4HANA comes from, how to cleanse it, and how to structure it in Snowflake for analytics.
On Cortex AI projects, we run an AI Security review together with the SNOK cybersecurity team - analysing data exposure through RAG, masking policies, and AI Act compliance. For regulated sectors, this is a condition for production deployment.
Snowflake case studies
A manufacturing-sector corporate group
Warehouse migration from SAP BW to Snowflake, integration with S/4HANA and management reporting
A financial-sector client
Cortex AI implementation for document classification, governance in Snowflake Horizon
A telecommunications-sector client
Data mesh architecture in Snowflake, integrations with Power BI and Tableau
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 deliver migrations of SAP BW and SAP Datasphere to Snowflake while preserving the business data model. We work with SAP HANA Cloud Replication and native CDC tools.
It depends on the architecture. For variable workloads (campaigns, period-end closes) Snowflake delivers significant savings. For sustained heavy workloads, the calculation requires closer analysis. SNOK carries out a 12-month TCO assessment before any decision.
Yes - this is one of the key advantages of Cortex AI. LLMs run within an isolated Snowflake network, with data remaining inside the cloud. Critical for finance, healthcare, and the public sector.
Yes. We work with Snowflake Horizon (data masking, row access policies, tagging) and integrate with Microsoft Purview or Collibra for unified governance.
