“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Role-Based Certification PrepTrack: Databricks Academy learning planOfficial Source: Databricks
DatabricksIntermediate
Data Engineering with Databricks
This program aligns to the Databricks Certified Data Engineer Associate track and prepares teams to perform introductory data engineering tasks on the Databricks Data Intelligence Platform. It covers ETL development with Spark SQL or PySpark, data ingestion and transformation, workload orchestration, and foundational governance practices needed for production-ready pipelines.
Duration
4 days
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
In Demand
Databricks
Data EngineeringDE
Delta Lake, workflows, governance
Databricks
DBX
On this page
Ideal for
Data EngineerData EngineeringCertification ReadinessTailored Team Delivery
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Data Engineering with Databricks as an MCT-led Databricks program for Data Engineer. Typical duration is 4 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to the official exam outline without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Built for practitioners who need to use Databricks to complete introductory data engineering tasks including ETL development, workload orchestration, and foundational governance.
Overview
Executive overview
Databricks certification-aligned program for foundational data engineering skills across Delta Lake ingestion, workflows, Delta Live Tables, and Unity Catalog governance.
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
1Module 1
Data Engineering
+
Module 1
Data Engineering
Cover data engineering skills and implementation practices aligned to Data Engineering with Databricks.
- Cover data engineering skills
- implementation practices aligned to Data Engineering with Databricks
2Module 2
Databricks Data Intelligence Platform
+
Module 2
Databricks Data Intelligence Platform
Cover databricks data intelligence platform skills and implementation practices aligned to Data Engineering with Databricks.
- Cover databricks data intelligence platform skills
- implementation practices aligned to Data Engineering with Databricks
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds the core delivery capability teams need to design, orchestrate, and govern modern lakehouse pipelines on Databricks with fewer implementation gaps.
- •Use your source-system and medallion architecture scenario in the workshop
- •Add streaming ingestion or CDC emphasis for platform teams
- •Extend with governance and operating-model decisions for Unity Catalog rollout
Credentials
Certification & official source
- •Databricks Academy learning plan
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