“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 Architect
Get started with Lakehouse Architecture Data Modeling Strategies Role-based Instructor-led Lab-based Role-based learning pathways Intermediate level Data Engineer Learn how to leverage SQL and Python to define and schedule pipelines to process new data from a variety of data sources to power analytic applications and dashboards. FREE 12h 00m LAB Intermediate level Machine Learning Engineer Learn how to build an end-to-end pipeline to log, deploy and monitor machine learning models. FREE 12h 00m LAB Beginner level Data Analysts Learn how to ingest data, write queries, produce visualizations and
Program Snapshot
Engagement scoped to cohort
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
VNode ITeS delivers Data Architect as an MCT-led Databricks program for Data Engineer. Typical duration is 1 to 2 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 Data Engineer learners adopting Data Architect.
- Data Engineer
- Architecture
- Certification Readiness
- Tailored Team Delivery
Overview
Executive overview
Databricks Academy-aligned program for Data Architect.
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 architecture scenarios
- Strengthen capability in databricks data intelligence platform scenarios
Enterprise Delivery
Official learning & delivery options
Review the vendor learning resource, then book a consultation or request a private cohort for your team.
Curriculum
Curriculum roadmap
- Architecture
- Databricks Data Intelligence Platform
1Module 1
Architecture
+
Module 1
Architecture
Cover architecture skills and implementation practices aligned to Data Architect.
- Cover architecture skills
- implementation practices aligned to Data Architect
2Module 2
Databricks Data Intelligence Platform
+
Module 2
Databricks Data Intelligence Platform
Cover databricks data intelligence platform skills and implementation practices aligned to Data Architect.
- Cover databricks data intelligence platform skills
- implementation practices aligned to Data Architect
Delivery Models
Delivery models
Engagement Fit
Engagement fit
- Certification readiness
- Implementation-focused labs
- Private cohort delivery
- Intermediate practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Develops Databricks lakehouse delivery capability for architecture 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 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
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
