Snowflake account setup
Roles, warehouses, databases, schemas, grants, service users, resource monitors, and a setup script your team can rerun.
Snowflake + dbt
Snowflake consulting
We build and repair Snowflake data platforms: account setup, pipelines, dbt models, cost controls, and the reporting layer that sits on top.
Good fit
When this work is worth doing
- Reports disagree because each team defines the same metric differently.
- Data lives across commerce, finance, CRM, operations, and marketing systems.
- Warehouse costs are rising, but the team can't tie the increase to a workload.
- The platform works, but only one person understands how to maintain it.
What we do
Models, pipelines, reports, and operating notes
Source pipelines and checks
Ingestion from the systems your business runs on, with freshness checks and a named owner when a source changes.
dbt modeling and metric definitions
Documented staging, intermediate, and reporting models so finance, operations, and leadership work from the same definitions.
Warehouse cost and query performance
We size warehouses, diagnose queries, separate workloads, and add monitoring based on account usage.
How we work
Start with the decision, then trace the data
Trace the number to its source
We start with a business question or broken number, then follow it through the report, model, pipeline, and source.
Fix only what is broken
The fix may be a new warehouse, one model, one grant, or one badly scheduled query. We check that before rebuilding anything.
Document the code and operating steps
The code, definitions, checks, and operating notes stay with your team so they can run the platform.
Relevant work
What the work changed
74 dbt models
Snowflake platform run in-house by a national legal organization
We connected eight source systems, tested the platform against more than 400 leadership questions during the pilot, and trained the internal team to run it.
Read the case study →27% lower average daily warehouse use
Snowflake and Power BI support for a DTC apparel brand
After the refresh schedule changed, average daily Power BI warehouse use was 27% lower than in the measured comparison period.
Read the case study →Guides
Setup and troubleshooting guides
What should a Snowflake initial setup script include?
The roles, warehouses, monitors, schemas, grants, and key-pair service user I create before the first load.
Read the guide →How I diagnose a Snowflake warehouse cost spike
Trace a credit spike through query history and compilation time to the workload that caused it.
Read the guide →A practical first step
Start with the problem
You don't need a finished requirements document. Start with a number the team doesn't trust, a report that takes too long, or a warehouse bill that keeps climbing.
Discuss your data problem