“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Data Engineer Professional
For seasoned data engineers on Databricks, the Databricks Academy offers courses that teach advanced data engineering concepts to take you to the next level of your career. Advanced Data Engineering on Databricks will focus on building on existing data engineering knowledge to unlock the full potential of the lakehouse. We want to provide you with the expertise to build and design workloads that can ingest and analyze ever-growing data while minimizing refactoring and downtime. Participants will learn how to: Design databases and pipelines optimized for the Databricks Lakehouse Platform Implem
Duration
2 days
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Databricks
Data EngineeringData Engineer Professional
Databricks Data Intelligence Platform
On this page
Ideal for
Audience Profile
Built for these roles
Built for Data Engineer learners adopting Data Engineer Professional.
Overview
Executive overview
Databricks Academy-aligned program for Data Engineer Professional.
Readiness
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in data engineering scenarios
Strengthen capability in databricks data intelligence platform scenarios
Curriculum
Curriculum roadmap
Data Engineering
Databricks Data Intelligence Platform
1Module 1
Data Engineering
+
Module 1
Data Engineering
Cover data engineering skills and implementation practices aligned to Data Engineer Professional.
- Cover data engineering skills
- implementation practices aligned to Data Engineer Professional
2Module 2
Databricks Data Intelligence Platform
+
Module 2
Databricks Data Intelligence Platform
Cover databricks data intelligence platform skills and implementation practices aligned to Data Engineer Professional.
- Cover databricks data intelligence platform skills
- implementation practices aligned to Data Engineer Professional
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Develops Databricks lakehouse delivery capability for data engineering teams through official Academy-aligned training.
- •Align labs to your production environment and platform priorities
- •Add readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •Databricks Certified Professional pathway
Aligned to the official Databricks training catalog and certification guidance for this program.
View Databricks Training SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
