Cloud Constellation/Careers/Data Engineer

CAREER PATH

Data Engineer

Building the pipelines that move and shape data at scale — from raw storage through to analytics-ready output.

6 clusters 2 domains ~60 hours DP-700 aligned

Drag to rotate · click a node to jump straight into that domain

Who this is for

Basic comfort with databases helps but isn't required — this path builds that up along the way.

How this path works
Each cluster below links to its real lesson page. Go in order the first time through — later clusters assume the ones before them. Once you've done a full pass, use it as reference.

The path — in order

Storage & Data

01
Object & File Storage
Where raw data typically lands first.
Domain 2 · Storage & Data
02
Relational Databases
Structured data fundamentals.
Domain 2 · Storage & Data
03
NoSQL Databases
Cosmos DB for flexible-schema workloads.
Domain 2 · Storage & Data
04
Data & Analytics
Synapse, Data Factory, and the pipelines themselves.
Domain 2 · Storage & Data

AI, Data & IoT

05
Azure Machine Learning
Where engineered data ultimately feeds.
Domain 9 · AI, Data & IoT
06
IoT
A major real-world source of the data being engineered.
Domain 9 · AI, Data & IoT

Certification this path maps to

DP-700: Fabric Data Engineer Associate

DP-700 (built around Microsoft Fabric) has replaced the older DP-203 as Microsoft's primary data engineering credential.

Where this leads

AI / ML Engineer is the natural next step for engineered data feeding into models. Database Administrator goes deeper on the operational database side instead.

Start the path → See other career paths