“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 Certified Data Engineer AssociateOfficial 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
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
- Working knowledge of SQL.
- Basic Python experience for data processing tasks.
- Familiarity with data engineering or analytics pipeline concepts.
Program Outcomes
Capabilities your teams will gain
Ingest and transform data using Delta Lake patterns
Orchestrate jobs with Databricks Workflows and Delta Live Tables
Apply foundational data governance using Unity Catalog
Strengthen readiness for Databricks Data Engineer Associate outcomes
Curriculum
Curriculum roadmap
1
Data Ingestion with Delta Lake
2
Deploy Workloads with Databricks Workflows
3
Build Data Pipelines with Delta Live Tables
4
Data Management and Governance with Unity Catalog
1Module 1
Lakehouse ingestion and transformation foundations
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Module 1
Lakehouse ingestion and transformation foundations
Establish the foundational patterns for loading, transforming, and managing data in the Databricks lakehouse using Delta Lake and medallion-style engineering practices.
- Data Ingestion with Delta Lake
2Module 2
Operationalize pipelines and scheduled workloads
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Module 2
Operationalize pipelines and scheduled workloads
Build reliable production workflows by orchestrating jobs, dependencies, and recurring data tasks with Databricks-native workflow tooling.
- Deploy Workloads with Databricks Workflows
3Module 3
Engineer declarative pipelines at scale
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Module 3
Engineer declarative pipelines at scale
Use Delta Live Tables to define, manage, and monitor resilient data pipelines for transformation, quality, and lifecycle management.
- Build Data Pipelines with Delta Live Tables
4Module 4
Govern data access and platform controls
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Module 4
Govern data access and platform controls
Apply core governance capabilities with Unity Catalog for access management, lineage awareness, and trusted data operations.
- Data Management and Governance with Unity Catalog
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 Certified Data Engineer Associate
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
