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Enterprise Program Brief

Role-Based Certification PrepTrack: Databricks Certified Professional pathwayOfficial Source: Databricks
DatabricksAdvanced

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

Ideal for

Data EngineerData EngineeringCertification ReadinessTailored Team Delivery

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

1

Data Engineering

2

Databricks Data Intelligence Platform

1

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
2

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

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readinessImplementation-focused labsPrivate cohort deliveryAdvanced practitioner depth

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 Source

Resources

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

The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.

Head of Data Engineering

Global Financial Services Firm

Financial Services
We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.

VP of Technology

Large Healthcare Organization

Healthcare

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

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

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid