Here is the list of Databricks Certifications offered up to June 2025, based on official Databricks documentation and up‑to‑date industry sources ():
🏅 Core Certifications
Data Analyst
- Databricks Certified Data Analyst Associate
Validates skills in Databricks SQL, analytics, dashboards, and data management using Databricks SQL service (, ).
Data Engineer
- Databricks Certified Data Engineer Associate
Covers the Databricks Lakehouse Platform, Spark SQL/Python ETL, incremental data processing, pipelines, governance (updated syllabus from July 25, 2025) (). - Databricks Certified Data Engineer Professional
For advanced data engineers: tooling, processing, modeling, security & governance, monitoring, testing & deployment ().
Machine Learning
- Databricks Certified Machine Learning Associate
Focuses on basic ML with Spark ML, AutoML, Feature Store, MLflow, and ML workflows (). - Databricks Certified Machine Learning Professional
Advanced-level: model lifecycle, experimentation, deployment, monitoring, drift detection ().
Developer / Specialty
- Databricks Certified Associate Developer for Apache Spark
Tests your knowledge of Spark architecture and DataFrame API tasks (Python or Scala) (). - Databricks Certified Hadoop Migration Architect
Designed for architects/migrators: Hadoop-to-Databricks migration design of data/code and cutover strategies ().
🔹 Additional Specialty Accreditations (Badges)
- Platform Administrator (accreditation)
Focuses on user/group management, compute resources, governance/security administration within Databricks (, ). - Cloud Platform Architect badges:
- Azure Platform Architect
- AWS Platform Architect
- GCP Platform Architect
These certifications validate best‑practice deployment, security, and integration for Databricks on each respective cloud (, , ).
📋 Certification Summary Table
| Certification / Badge | Level | Focus Area |
|---|---|---|
| Data Analyst Associate | Associate | Databricks SQL, dashboards, analytics |
| Data Engineer Associate | Associate | Data engineering basics (Spark, ETL, governance) |
| Data Engineer Professional | Professional | Advanced data engineering tools, modeling, testing |
| ML Associate | Associate | Fundamentals of ML with Spark, MLflow, workflows |
| ML Professional | Professional | Production-level ML deployment and monitoring |
| Apache Spark Associate Developer | Associate | Spark API proficiency (DataFrame, filtering, joins) |
| Hadoop Migration Architect | Specialist | Hadoop-to-Databricks migration design & execution |
| Platform Administrator (accreditation badge) | Badge | Admin governance, access, compute & security setups |
| Cloud Platform Architect (Azure/AWS/GCP) badges | Badge | Cloud deployment, integration and security best practices |
ℹ️ Things to Know
- All certifications (aside from badges) are valid for 2 years and need recertification thereafter (, , ).
- Exams are delivered online, proctored, with durations of ~60 – 120 minutes depending on level, and require ~70% passing score or higher (65% for Spark Associate) ().
- New syllabus for Data Engineer Associate exam takes effect from July 25, 2025, with updated topics like Lakehouse Federation, DLT, Delta Sharing, and Unity Catalog ().
- Specialty badges are shorter assessments tied to learning paths (e.g., platform admin or cloud-specific deployment), often included as part of the Databricks Academy training programs ().