Microsoft Certified: Azure Data Fundamentals
The most beginner-friendly data fundamentals cert across any cloud — even AWS/GCP folks benefit.
Data engineering certifications fall into two buckets: platform-specific (AWS DEA-C01, Azure DP-700, GCP PDE, Databricks DEA) and cross-cutting (data fundamentals, SQL, analytics). This roadmap shows you where to start and where to specialize.
Establish data vocabulary alongside your chosen cloud.
The most beginner-friendly data fundamentals cert across any cloud — even AWS/GCP folks benefit.
Pre-req-style cert for AWS data engineers who are new to AWS.
Lightweight GCP intro. Optional if you go directly into ACE.
Optional but useful — broad cloud fluency makes the data engineer specialty exam easier.
Strong AWS fluency makes DEA-C01 noticeably easier.
Optional for Azure data engineers — useful when you own the platform end-to-end.
Strongly recommended before the GCP Professional Data Engineer cert.
The cert that makes you a data engineer on your platform.
AWS's flagship data engineer cert — Glue, Redshift, Kinesis, EMR, and Lake Formation.
The newest Microsoft data engineer cert — Microsoft Fabric, OneLake, and Synapse data engineering.
Pairs with DP-700 if you also do analytics modeling.
GCP's top data engineer cert — BigQuery, Dataflow, Dataproc, Pub/Sub.
The most relevant data engineer cert if you work on Databricks (any cloud).
Pick a specialty — analytics, advanced platform, or database administration.
The senior Databricks data engineer cert — performance, optimization, streaming.
Good complement if your team blurs the data engineer / analytics engineer line.
Useful if your data engineering role still owns OLTP databases.
Optional. Helps when your stakeholders consume Power BI heavily.
Pick the one your employer uses. If your stack is open (Glue, EMR, Redshift), do DEA-C01. If you're on Databricks (any cloud), the Databricks DEA is more directly relevant.
Yes — GCP PDE is a "Professional" exam with deeper scenarios. AWS DEA-C01 is Associate-level. Expect roughly 30–40% more prep time for PDE.
From AI fundamentals to production GenAI and ML engineering — covering AWS, Azure, GCP, Databricks, and GitHub Copilot.
Become a cloud solutions architect on AWS, Azure, or GCP — with the cross-cloud and platform skills that get you to senior.