Data Engineering → Snowflake
Snowflake
For organisations running or extending a Snowflake estate, we build ELT pipelines, data models, and governance on Snowflake itself — not every Snowflake engagement is a migration. Support ranges from a scoped build (new pipelines, models, or a governance layer) to an ongoing engineering partnership covering performance tuning, credit-usage optimisation, and ongoing pipeline development as your estate grows.
What's included
Core capabilities
Snowflake data model & warehouse design
ELT pipeline development & orchestration
Role-based access & governance setup
Performance & credit-usage optimisation
Use case
Cutting Snowflake credit spend while unblocking new pipeline requests
Scenario
A Snowflake estate that had grown organically over several years — warehouses sized once and never revisited, and a backlog of new pipeline requests the existing team couldn't get to.
Approach
We audited warehouse sizing and query patterns against actual usage, right-sized and split workloads by warehouse, and took on the backlog of new ELT pipelines and dbt models as an ongoing engineering partnership.
Outcome
Lower credit consumption from right-sized warehouses, and a cleared pipeline backlog without the client needing to hire additional headcount.
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