Data warehouse and lakehouse design
One clean, trusted home for all your data. We choose the platform with you, model the data so every number means the same thing everywhere, and tune it so queries are fast and bills stay sensible.
What’s included
Platform choice and setup
Snowflake, Databricks, BigQuery, Redshift or PostgreSQL, picked for your size and budget.
Data modelling
Tables designed around how your business works, so numbers stay consistent.
Lakehouse design
Open table formats on cloud storage, when you need analytics and machine learning on the same data.
Cost and performance tuning
Faster queries and smaller bills from better table design and right-sized compute.
Access control
The right people see the right data, down to rows and columns where needed.
When it makes sense
- Analysts query your production database and slow down your app.
- Each team has its own version of revenue.
- Your warehouse bill grows faster than your data.
What you get
- A warehouse or lakehouse in your cloud account
- Documented data models
- Access rules and roles
- A cost report showing what we changed
Tools we work with
We pick what fits your project and your team, and we’ll say why.
- Snowflake
- Databricks
- BigQuery
- Redshift
- PostgreSQL
- dbt
- Delta Lake
- Apache Iceberg
Questions about warehouses and lakehouses
Warehouse or lakehouse?
A warehouse suits structured business data and reporting. A lakehouse adds cheap storage for large or messy data, with machine learning on the same copy. Many companies start with a warehouse.
Can you reduce our Snowflake or BigQuery bill?
Usually, yes. Most savings come from query patterns, table design and compute sizing. We measure before and after, and show you each change.
Related services
Tell us what you need built.
A free 30-minute call with an engineer. You get the scope, timeline and price in writing before you commit, and a reply within one working day.