“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Track: Databricks architecture-aligned learning planOfficial Source: Databricks
DatabricksAdvanced
Platform Architecture with Databricks
This architecture-focused program helps platform and cloud teams make better enterprise design decisions for Databricks adoption. It covers workspace and environment topology, security and governance boundaries, networking choices, CI/CD implications, and operational ownership patterns across a broader lakehouse platform.
Duration
2 days
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
In Demand
Databricks
ArchitectureAR
Topology, networking, governance, CI/CD
Databricks Platform
ARCH
On this page
Ideal for
Platform ArchitectPlatform ArchitectureTailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Built for architects and platform owners who need a more scalable and supportable Databricks enterprise architecture.
Overview
Executive overview
Architecture-focused Databricks program for designing scalable workspace topology, governance boundaries, networking patterns, and platform operating models.
Readiness
Prerequisites
- Experience with enterprise cloud-platform architecture.
- Working familiarity with Databricks workspaces and governance concepts.
- Exposure to security, networking, and environment-promotion decisions.
Program Outcomes
Capabilities your teams will gain
Design workspace and environment topology for Databricks platforms
Align networking and governance decisions to enterprise requirements
Improve CI/CD and platform-promotion architecture for Databricks assets
Create a clearer Databricks operating model for shared platform ownership
Curriculum
Curriculum roadmap
1
Workspace topology and environment strategy
2
Networking, identity, and security architecture
3
Governance boundaries and platform standards
4
CI/CD, operations, and platform rollout design
1Module 1
Design Databricks workspace architecture
+
Module 1
Design Databricks workspace architecture
Shape enterprise topology and environment patterns that support both scale and governance across Databricks adoption.
- Workspace topology and environment strategy
2Module 2
Plan security and networking architecture
+
Module 2
Plan security and networking architecture
Connect networking, identity, and access decisions to a realistic Databricks platform architecture.
- Networking, identity, and security architecture
3Module 3
Set governance and engineering standards
+
Module 3
Set governance and engineering standards
Define the governance boundaries and operating standards that let teams use Databricks without uncontrolled platform sprawl.
- Governance boundaries and platform standards
4Module 4
Operationalize platform rollout
+
Module 4
Operationalize platform rollout
Apply environment-promotion, CI/CD, and support-model decisions that make the platform sustainable beyond initial deployment.
- CI/CD, operations, and platform rollout design
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryAdvanced practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Supports better enterprise Databricks rollout decisions by aligning workspace topology, networking, governance, CI/CD, and operating-model architecture early.
- •Use your target cloud architecture and subscription model
- •Add private networking, identity, and data-governance design decisions
- •Extend into platform operating model and support structure planning
Credentials
Certification & official source
- •Databricks architecture-aligned 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
