Snowflake Consulting & Implementation

It depends on how many source systems you have and how messy the existing pipelines are. A straightforward single-warehouse migration usually takes 6–10 weeks. If you have multiple legacy systems, complex transformations, or strict compliance requirements, plan for 12–16 weeks. We always start with a 2-week assessment so there are no surprises.

Yes, and it is getting better fast. Snowflake Cortex gives you built-in ML functions for classification, forecasting, and anomaly detection - all running where your data already lives. No need to extract data to a separate ML platform. We have built Cortex-based solutions for predictive quality control, demand forecasting, and automated text classification.

We bill by the project, not by the hour. A migration engagement typically runs between $40K and $150K depending on scope. A focused optimization or PrivateLink implementation might be $15K–$40K. We will give you a fixed quote after the assessment - no open-ended billing.

That is actually one of the most common reasons people call us. Snowflake is powerful, but it is easy to misconfigure warehouses, write inefficient queries, or let costs spiral with auto-scaling nobody is monitoring. We run a cost and performance audit, fix the low-hanging fruit in the first week, and then tackle the structural issues.

Yes, dbt is our preferred transformation layer for Snowflake projects. It gives you version-controlled SQL, automated testing, and documentation that actually stays current. We have a full guide on setting up dbt with Snowflake if you want to see the technical details.