Each client sees only its data
Row-level security tied to roles, with portfolio reporting still possible.
Snowflake for marketing data
Snowflake as the marketing data cloud.
Snowflake is our default warehouse for agency and ad data work, mostly because separating storage from compute suits reporting workloads that spike hard at month end. We architect it, model it in dbt, and keep the credit bill predictable.
- Multi-tenant access
- dbt modeling
- Credit cost control
What you get
Elastic compute, predictable invoice.
A predictable credit bill
Right-sized warehouses, short auto-suspend and resource monitors.
Dashboards that don't rescan
Aggregate layers, so reports never scan raw event tables.
Know what drives cost
Cost attributed by team, client or workload.
The problem
Elastic compute, inelastic invoice.
Snowflake makes it trivially easy to spend money. A warehouse left on auto-resume with a long suspend timer bills for idle time all month. Dashboards querying raw tables re-scan the same rows hundreds of times a day because nobody built an aggregate layer. And multi-tenant agency setups get access wrong in the risky direction: separate databases per client that then cannot be reported on together, or one shared schema with no row-level enforcement at all.
What we implement on Snowflake
What's included.
- Warehouse and database architecture sized to your workload rather than a default template
- Multi-tenant access design with row-level security for client-facing reporting
- A dbt project with staging, intermediate and reporting marts, all tested
- Aggregate and materialized layers, so dashboards never scan raw event tables
- Warehouse sizing, auto-suspend and resource monitors to keep credit spend predictable
- Cost attribution by team, client or workload, so you know what is driving the bill
How we work
How we run it.
Step 1
Model the workload first: query patterns, concurrency and month-end peaks
Step 2
Set up databases, roles and access before loading data, since retrofitting security is painful
Step 3
Build the dbt layer with tests and an aggregate tier for reporting
Step 4
Add resource monitors and cost attribution, then review the first full month together
What we use
Tools, platforms and methods.
- Snowflake
- dbt
- Airflow
- Snowpipe
- Python
- Looker Studio
- Power BI
FAQ
Common questions.
Snowflake or BigQuery for marketing data?
Both work well, and the decision is rarely about features. BigQuery is a strong default if you are already on GCP and lean on GA4 exports, and its per-query pricing suits spiky, unpredictable use. Snowflake fits better where you need fine-grained multi-tenant access control, predictable warehouse-based cost and cross-cloud flexibility. We model your actual volumes both ways rather than defending a favorite.
How do you keep Snowflake costs under control?
Mostly by removing waste rather than restricting use: right-sized warehouses with short auto-suspend, separate warehouses per workload so a heavy backfill cannot slow reporting, aggregate tables behind dashboards, and resource monitors with alerts. Idle compute and dashboards scanning raw tables are the two biggest line items on almost every bill we review.
Can each client access only their own data?
Yes, through row-level security policies tied to roles rather than separate databases per client. That keeps client isolation strict while still allowing portfolio-wide reporting, which per-client databases make effectively impossible.
How does this relate to your marketing data warehouse work?
This page is about Snowflake itself for marketing and ad data: ingestion, agency multi-tenancy and reporting cost. Our marketing data warehouse page covers the full build across every ad platform, on Snowflake, BigQuery or Redshift.
Related
Related services.
Marketing data warehouse
dbt on Snowflake, BigQuery or Redshift: every ad platform modeled, tested and documented.
Learn moreBigQuery marketing data hub
GA4 export modeling, Google Ads transfers and query costs that stay flat.
Learn moredbt & Airflow
Tested dbt models, reliable DAGs and CI for data.
Learn moreAgency reporting automation
White-label client reports across Amazon, Walmart, Google, Meta and TikTok, built automatically.
Learn moreGet your Snowflake setup reviewed.
Tell us how you use Snowflake today and what the bill looks like. We'll tell you where the waste is and what to model first.