Databricks Starter Kit

Databricks Starter Kit

Production-ready templates for building data platforms on Databricks with Unity Catalog and Delta Lake.

Skip the months of trial and error. This kit gives you the same patterns and architecture used by data platform teams at scale — fully documented, customizable, and ready to deploy.

---

What's Inside

21 files — every one fully runnable, type-hinted, and documented.

---

Quick Start

1. Upload to Databricks

Upload this kit to a Databricks Repo or the workspace file system:

/Repos/<your-user>/databricks-starter-kit/


Or use the Databricks CLI:


databricks repos create \
  --url https://github.com/your-org/databricks-starter-kit \
  --provider github


2. Configure Your Environment

Edit config/environment.py to register your workspace IDs:


WORKSPACE_ENV_MAP: dict[str, str] = {
    "1234567890123456": "dev",      # Your dev workspace org ID
    "2345678901234567": "staging",  # Your staging workspace
    "3456789012345678": "prod",     # Your production workspace
}


Update storage account names and catalog prefixes to match your naming conventions.

3. Bootstrap the Medallion Architecture

Edit medallion_bootstrap/config.py with your catalog names and team groups, then run:


In a Databricks notebook — run these in order:

... preview truncated, see full README in product download.