Data Vault 2.0 is a data modeling methodology and design pattern intended to improve the flexibility of data warehouses compared to other popular modeling approaches. Data Vault 2.0 can be applied to any data store such as Snowflake or Databricks. When implementing Data Vault warehouses, we've found the dbtvault package for dbt to be a helpful tool. dbtvault provides a set of jinja templates that generate and execute the ETL scripts necessary to populate a Data Vault warehouse. Although dbtvault has some rough edges — it lacks support for enforcing implied uniqueness or performing incremental loads — overall, it fills a niche and requires minimal configuration to get started.