dbt Consulting
Build trusted, tested, and documented data transformations with analytics engineering best practices
Analytics Engineering with dbt
dbt (data build tool) has become the standard for transforming data in modern data warehouses. As experienced dbt practitioners, we help organizations implement dbt projects that are maintainable, tested, and production-ready from day one.
Whether you're starting your first dbt project or scaling an existing one, our team brings deep expertise in Snowflake + dbt workflows, CI/CD automation, and analytics engineering best practices.
Our dbt Services
dbt Project Setup
Establish a production-ready dbt project with proper folder structure, coding standards, testing frameworks, and CI/CD pipelines from the start.
Model Development
Build modular, well-documented dbt models following the staging/intermediate/marts pattern. Create reusable macros and clean DAG lineage.
Testing & Data Quality
Implement comprehensive testing strategies including schema tests, custom data tests, and freshness checks to ensure data reliability.
Migration & Optimization
Migrate existing SQL transformations into dbt, optimize model performance with incremental strategies, and reduce Snowflake compute costs.
Why Choose dbt?
Version-Controlled Transformations
All your data transformation logic lives in Git. Review changes, roll back mistakes, and collaborate with your team using familiar software engineering workflows.
Built-in Testing
Catch data issues before they reach your dashboards. dbt's testing framework validates your data at every step of the transformation pipeline.
Auto-Generated Documentation
dbt generates a searchable documentation site from your models, including column descriptions, lineage graphs, and test results.
Snowflake Optimized
dbt is purpose-built for cloud data warehouses like Snowflake, leveraging native features like incremental models, zero-copy cloning, and dynamic tables.
Accelerate with Our dbt Jumpstart
Get started faster with our pre-built dbt project template. Includes coding standards, testing patterns, and CI/CD configuration built from real-world Snowflake project experience.
Learn About dbt JumpstartFrequently Asked Questions
dbt (data build tool) is an open-source transformation tool that enables analytics engineers to write modular SQL to transform data directly in your warehouse. It sits between your data ingestion tools (like Fivetran or Matillion) and your BI layer (like Omni or Looker), handling all the transformation logic in a tested, documented, version-controlled workflow.
It depends on your team's needs. dbt Core is the free, open-source CLI tool that gives you full control. dbt Cloud adds a managed environment with a web IDE, job scheduling, and built-in CI. We help teams evaluate both options and implement the best fit for their workflow and budget.
A greenfield dbt project with proper structure, testing, and CI/CD can be production-ready in 2-4 weeks. Migrating existing SQL transformations typically takes 4-8 weeks depending on complexity. Our dbt Jumpstart package accelerates initial setup significantly.
Absolutely. dbt and Snowflake are one of the most popular combinations in the modern data stack. dbt leverages Snowflake's SQL engine for transformations, and supports Snowflake-specific features like incremental models with merge strategies, dynamic tables, and zero-copy cloning for CI testing.
Both are data transformation tools for Snowflake, but they take different approaches. dbt is code-first (SQL + Jinja) and highly flexible, making it ideal for teams comfortable with Git workflows. Coalesce provides a visual, column-aware interface purpose-built for Snowflake. We work with both and can help you choose the right tool for your team.
Ready to Level Up Your Data Transformations?
Let's build a dbt project that your team will love working with.
Schedule a Consultation