Skip to content
🗃️

Data Engineer Certification Roadmap

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.

4 phases · 15 certifications918 months
Data EngineerAnalytics EngineerData Platform Engineer
Filter by vendor
1

Phase 1 — Data & Cloud Foundations

Establish data vocabulary alongside your chosen cloud.

After this phase: You understand relational vs non-relational data, ETL vs ELT, and your cloud's data services.
Recommended
MicrosoftFundamentals

Microsoft Certified: Azure Data Fundamentals

Exam: DP-900

The most beginner-friendly data fundamentals cert across any cloud — even AWS/GCP folks benefit.

Recommended
AWSFoundational

AWS Certified Cloud Practitioner

Exam: CLF-C02

Pre-req-style cert for AWS data engineers who are new to AWS.

GoogleFoundational

Google Cloud Digital Leader

Exam: GCP-CDL

Lightweight GCP intro. Optional if you go directly into ACE.

2

Phase 2 — Cloud Associate

Optional but useful — broad cloud fluency makes the data engineer specialty exam easier.

After this phase: You can navigate the compute, storage, and networking layers under your data pipelines.
AWSAssociate

AWS Certified Solutions Architect – Associate

Exam: SAA-C03

Strong AWS fluency makes DEA-C01 noticeably easier.

MicrosoftAssociate

Microsoft Certified: Azure Administrator Associate

Exam: AZ-104

Optional for Azure data engineers — useful when you own the platform end-to-end.

GoogleAssociate

Google Cloud Associate Cloud Engineer

Exam: GCP-ACE

Strongly recommended before the GCP Professional Data Engineer cert.

3

Phase 3 — Data Engineer Role

The cert that makes you a data engineer on your platform.

After this phase: You can design and operate ingestion, transformation, storage, and serving pipelines.
Recommended
AWSAssociate

AWS Certified Data Engineer – Associate

Exam: DEA-C01

AWS's flagship data engineer cert — Glue, Redshift, Kinesis, EMR, and Lake Formation.

Recommended
MicrosoftAssociate

Microsoft Certified: Fabric Data Engineer Associate

Exam: DP-700

The newest Microsoft data engineer cert — Microsoft Fabric, OneLake, and Synapse data engineering.

MicrosoftAssociate

Microsoft Certified: Fabric Analytics Engineer Associate

Exam: DP-600

Pairs with DP-700 if you also do analytics modeling.

Recommended
GoogleProfessional

Google Cloud Professional Data Engineer

Exam: GCP-PDE

GCP's top data engineer cert — BigQuery, Dataflow, Dataproc, Pub/Sub.

Recommended
DatabricksData Engineer

Databricks Certified Data Engineer Associate

Exam: DEA

The most relevant data engineer cert if you work on Databricks (any cloud).

4

Phase 4 — Specialize

Pick a specialty — analytics, advanced platform, or database administration.

After this phase: You bring a specialty alongside your core data engineer credential.
DatabricksData Engineer

Databricks Certified Data Engineer Professional

Exam: DEP

The senior Databricks data engineer cert — performance, optimization, streaming.

DatabricksData Analyst

Databricks Certified Data Analyst Associate

Exam: DAA

Good complement if your team blurs the data engineer / analytics engineer line.

MicrosoftAssociate

Microsoft Certified: Azure Database Administrator Associate

Exam: DP-300

Useful if your data engineering role still owns OLTP databases.

MicrosoftAssociate

Microsoft Certified: Power BI Data Analyst

Exam: PL-300

Optional. Helps when your stakeholders consume Power BI heavily.

Frequently Asked Questions

AWS DEA-C01 or Databricks DEA — which one first?

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.

Is GCP PDE harder than AWS DEA-C01?

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.

Related Roadmaps

Free Courses to Build the Skills