Which Databricks data engineering certification should I take first?

Summary

• Take the Databricks Certified Data Engineer Associate first: it is the entry-level data engineering credential and the foundation for the rest of the path.
• After the Associate, progress to the Data Engineer Professional for advanced pipeline design, optimization, and production data engineering.
• The Associate Developer for Apache Spark is a complementary credential that validates the Spark development skills used in data engineering.
• Prepare with the role-aligned data engineering learning path in Databricks Academy: free self-paced courses with hands-on labs, or instructor-led training.
• Then review the official exam guide and its sample questions before you register and schedule the exam.

Which Databricks data engineering certification should I take first?

If you are starting in data engineering, take the Databricks Certified Data Engineer Associate first. Databricks certifications are role-based and tiered, so within each track the associate-level exam establishes the foundational skills that the professional-level exam then builds on. The Data Engineer Associate is the entry point for the data engineering track, which makes it the right first exam before you move on to more advanced credentials. You can see the current exam details, prerequisites, and format on the Databricks certification page.

The data engineering certification path

• Data Engineer Associate (start here). Validates foundational data engineering skills, including building and maintaining data pipelines, ingesting and transforming data, and managing data quality on the platform.
• Data Engineer Professional (next). Validates advanced pipeline design, optimization, and production data engineering for practitioners with more experience.
• Associate Developer for Apache Spark (complementary). Validates the Spark development skills used throughout data engineering; useful alongside the data engineering track.

Taking the Associate first gives you a credential that reflects the core skills every data engineer uses, and it sets you up to progress to the Professional exam as your experience grows.

How to prepare for the Data Engineer Associate

• Follow the data engineering learning path. Databricks Academy offers free self-paced courses with hands-on labs, plus live instructor-led training taught by data and AI experts.
• Review the official exam guide. It lays out the exam scope and topics and includes sample questions that show how objectives are turned into questions.
• Practice hands-on. Reinforce the material in a workspace so you are comfortable with the pipeline, ingestion, and data-quality tasks the exam covers.
• Register and schedule. Sign up for the exam through the Databricks certification page; your digital credential is issued after you pass.

Getting started

• Review the Databricks certification page for the Data Engineer Associate exam guide, prerequisites, and format.
• Enroll in the data engineering learning path in Databricks Academy.
• Read Building your AI skillset: accelerate your career with Databricks certifications to see how the certifications fit together.

FAQs

Which Databricks data engineering certification should I take first?

Take the Data Engineer Associate first. It is the entry-level data engineering credential and the foundation for the Data Engineer Professional exam that follows.

Do I need the Apache Spark certification for data engineering?

It is optional but complementary. The Associate Developer for Apache Spark validates Spark development skills that are widely used in data engineering, so it pairs well with the data engineering track.

How do I prepare for the Data Engineer Associate exam?

Follow the data engineering learning path in Databricks Academy, using free self-paced courses with hands-on labs or instructor-led training, then review the official exam guide and its sample questions before you schedule the exam.