databricks-deploy-integration

name	databricks-deploy-integration
description	Deploy Databricks jobs and pipelines with Declarative Automation Bundles. Use when deploying jobs to different environments, managing deployments, or setting up deployment automation. Trigger with phrases like "databricks deploy", "asset bundles", "databricks deployment", "deploy to production", "bundle deploy".
allowed-tools	Read, Write, Edit, Bash(databricks:*)
version	1.0.0
license	MIT
author	Jeremy Longshore <[e-mail]>
compatible-with	claude-code, codex, openclaw
tags	["saas","databricks","deployment"]

Databricks Deploy Integration

Overview

Deploy Databricks jobs, DLT pipelines, and ML models using Declarative Automation Bundles (DABs, formerly Asset Bundles). Bundles provide infrastructure-as-code with databricks.yml defining resources, targets (dev/staging/prod), variables, and permissions. The CLI handles validation, deployment, and lifecycle management.

Prerequisites

• Databricks CLI v0.200+ (databricks --version)
• Workspace access with service principal for automated deploys
• databricks.yml bundle configuration at project root

Instructions

Step 1: Initialize a Bundle

# Create from a template
databricks bundle init

# Available templates:
# - default-python: Python notebook project
# - default-sql: SQL project
# - mlops-stacks: Full MLOps template with feature engineering

Step 2: Configure databricks.yml

# databricks.yml — single source of truth for project deployment
bundle:
  name: sales-etl-pipeline

workspace:
  host: ${DATABRICKS_HOST}

variables:
  catalog:
    description: Unity Catalog name
    default: dev_catalog
  alert_email:
    description: Alert notification email
    default: [e-mail]
  warehouse_size:
    default: "2X-Small"

include:
  - resources/*.yml