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Databricks Certified Data Engineer Professional training and exam prep - the advanced certification for production data engineering on the Databricks Data Intelligence Platform, with hands-on labs.
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The Databricks Certified Data Engineer Professional is the advanced (professional-level) data engineering certification for the Databricks Data Intelligence Platform. It validates that you can build, optimise, secure and maintain production-grade data engineering solutions - not just build a basic pipeline, but run it reliably, efficiently and securely at scale. The certification is earned by passing a single exam: about 60 multiple-choice questions in 120 minutes, taken online with remote proctoring, for about US$200. The current exam covers ten areas, led by developing code for data processing in Python and SQL, cost and performance optimisation, data transformation and quality, monitoring and alerting, security and compliance, debugging and deploying, ingestion, governance, data modelling, and data sharing and federation. Questions are scenario-based - they test judgement and trade-offs, not just recall.
The Databricks Certified Data Engineer Professional is a senior credential. It goes beyond building pipelines to proving you can run them well in production - optimising cost and performance, monitoring and alerting, deploying safely, and securing and governing data at scale. For experienced data engineers, it is a strong signal of senior capability and a natural step up from the Associate. It validates exactly the skills that lead and platform data-engineering roles demand.
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Source: Indeed
Annual Salary
Source: Glassdoor
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Source: Indeed
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This is an advanced certification. It has no formal prerequisites, but it is designed for experienced data engineers. It is ideal for: - Data engineers with real Databricks production experience - Holders of the Data Engineer Associate ready for the next step - Senior, lead and platform data engineers - Anyone who builds and runs production pipelines on Databricks Databricks recommends Associate-level knowledge and roughly 1-2 years of hands-on Databricks experience. If you are newer to Databricks, start with the Data Engineer Associate first.
How to earn it:
1. Prepare with a Data Engineer Professional exam-prep course that includes advanced hands-on labs - that is what we provide.
2. Register for the exam through Databricks' official certification platform.
3. Take the exam online with remote proctoring (about 60 ...
The Databricks Certified Data Engineer Professional certification validates your ability to design, develop, optimize, and manage advanced data engineering solutions using the Databricks Data Intelligence Platform. The exam assesses your knowledge of scalable data pipelines, advanced data processing, workflow orchestration, data quality, performance optimization, security, governance, and production-ready data engineering practices. Understanding the exam structure and certification requirements can help you plan your preparation effectively and build confidence before the assessment. This section explains the exam pattern, question format, duration, certification requirements, and other important details you should know before taking the Databricks Certified Data Engineer Professional exam.
Exam details verified on 16 August 2026. The Databricks Certified Data Engineer Professional is earned by passing a single online-proctored exam of about 60 multiple-choice questions in 120 minutes, for about US$200 (plus applicable local taxes). Some items may be unscored research questions, not identified during the test. A passing score of 70% is commonly cited, though some sources say Databricks does not publish a fixed cut score - confirm on Databricks' exam guide. Questions are scenario-based.
The Data Engineer Professional is ideal for: - Experienced data engineers with real Databricks production experience - Data Engineer Associate holders ready for the advanced step - Senior, lead and platform data engineers This is an advanced certification. It assumes Associate-level knowledge and roughly 1-2 years of hands-on Databricks experience. If you are newer to Databricks, start with the Data Engineer Associate first - it builds the foundation this exam assumes.
