If you’re trying to figure out which Databricks certification to take and in what order, this guide is your shortcut. It lays out the full Databricks certification pathway, so you can match the right credential to your current role (analyst, data engineer, ML, Spark dev, GenAI) and your experience level, instead of guessing and wasting time. You’ll see what each exam is focused on, who it’s best for, how the levels stack from associate to professional, and the smartest progression to follow if you want the quickest route to a real skills upgrade (and a stronger resume).
Apache Spark Certified Developer
- Associate
- 6+ months hands-on
- None
- $200 USD
- $122,000 USD
Databricks Certified Associate Developer for Apache Spark is the “prov…
Databricks Certified Associate Developer for Apache Spark is the “prove you can actually use Spark” cert. It’s not about theory-heavy ML or lakehouse architecture. It’s about whether you can sit down in a Spark session and confidently do real work with the DataFrame API in Python: shape data, clean it, join it, aggregate it, and write it back out properly. What it really tests is two things at once: Hands-on DataFrame + Spark SQL skills (select/rename columns, filter/sort/aggregate, handle nulls, joins, read/write/partition, schemas, UDFs, built-in SQL functions). Just enough Spark internals to not hurt yourself in production: execution/deployment modes, lazy evaluation, shuffles, actions, broadcasting, fault tolerance, basic troubleshooting/tuning, plus Structured Streaming and Spark Connect. Databricks Certified Associate Developer for Apache Spark is the “prov…Databricks Associate Data Analyst
- Associate
- 0-6 months
- None
- $200 USD
- $82,640 USD
Databricks Certified Data Analyst Associate is the entry-level cert fo…
Databricks Certified Data Analyst Associate is the entry-level cert for people doing analytics work in Databricks SQL. It’s basically saying: you can take data in a Databricks environment, ask the right questions with SQL, and turn the answers into something a team can actually use (dashboards, visualizations, and shared insights). Databricks What it really tests is your ability to work end-to-end inside Databricks SQL: managing and importing data, running queries (including using Databricks SQL Warehouses), analyzing query results, building dashboards/visualizations, and handling some platform basics like data modeling and securing data with best practices. It also includes fundamentals around creating and maintaining AI/BI Genie spaces. Databricks Certified Data Analyst Associate is the entry-level cert fo…Databricks Associate Data Engineer
- Associate
- 0-6 months
- None
- $200 USD
- $131,398
Databricks Certified Data Engineer Associate is an entry-level credent…
Databricks Certified Data Engineer Associate is an entry-level credential that proves you can do the day-to-day data engineering basics on the Databricks Data Intelligence Platform (workspace concepts, platform architecture, and core capabilities). Databricks What it really tests is whether you can build and run practical pipelines: ingest data, clean it up, handle more complex transformations, and write ETL using Spark SQL or PySpark (including things like UDFs). Then it pushes you one step closer to real production work by checking that you can deploy and orchestrate workloads using Databricks Workflows—configuring jobs and scheduling them correctly. Databricks Certified Data Engineer Associate is an entry-level credent…Databricks Generative AI Engineer Associate
- Associate
- 6+ months hands-on
- None
- $200 USD
- $120,000 USD
Databricks Certified Generative AI Engineer Associate is the entry-lev…
Databricks Certified Generative AI Engineer Associate is the entry-level cert for people who want to build real LLM apps on Databricks, not just play with prompts. It checks whether you can break a messy problem into steps, pick the right model/tooling, and then implement an LLM-enabled solution using Databricks-native pieces like Vector Search (semantic similarity), Model Serving (deployment), MLflow (lifecycle), and Unity Catalog (governance). If you pass, the expectation is you can build and ship RAG apps and LLM chains that actually run well in production. Databricks What it focuses on (by weight): Application Development (30%) + Assembling/Deploying Apps (22%) Design (14%), Data Prep (14%) Evaluation & Monitoring (12%), Governance (8%) Databricks Certified Generative AI Engineer Associate is the entry-lev…Databricks Machine Learning Associate
- Associate
- 6+ months hands-on
- None
- $200 USD
- $120,000 USD
Databricks Certified Machine Learning Associate is the starter ML cert…
Databricks Certified Machine Learning Associate is the starter ML cert for the Databricks platform. It’s meant to prove you can run a basic ML project end-to-end in Databricks: understand the platform, explore data, engineer features, train/tune/evaluate models, and then actually deploy something. It leans on Databricks-native pieces like AutoML, Unity Catalog, and MLflow (at an introductory level). Databricks What it really tests: Platform + ML basics in Databricks (biggest chunk) Databricks Building workflows: data exploration + feature engineering, then training, tuning, evaluation, and model selection Databricks Deployment fundamentals (smaller chunk, but it’s there) Databricks Certified Machine Learning Associate is the starter ML cert…Databricks Machine Learning Professional
- Professional
- 1+ years hands-on
- None
- $200 USD
- $127,000 USD
Databricks Certified Machine Learning Professional is the advanced, pr…
Databricks Certified Machine Learning Professional is the advanced, production-focused ML cert. It’s aimed at people who can design, build, and run enterprise-scale ML systems on Databricks, not just train a model in a notebook. Think scalable pipelines with SparkML, distributed training + hyperparameter tuning, and “grown-up” experimentation and lifecycle management with advanced MLflow and Feature Store concepts. Databricks What it really tests is whether you can do MLOps end-to-end: solid testing practices, managing environments with Databricks Asset Bundles, setting up automated retraining workflows, and monitoring models with Lakehouse Monitoring (including drift detection). Then it checks you can actually ship: deployment strategies, custom model serving, and controlled rollouts. The exam weighting is heavily split between Model Development (44%) and ML Ops (44%), with Model Deployment (12%). Databricks Databricks Certified Machine Learning Professional is the advanced, pr…Databricks Professional Data Engineer
- Professional
- 1 to 2 Years
- None
- $200 USD
- 162,000 USD
Databricks Certified Data Engineer Professional is the “production” le…
Databricks Certified Data Engineer Professional is the “production” level data engineering cert. It’s built to prove you can design, build, optimize, and run real pipelines at scale on the Databricks Data Intelligence Platform, not just write a few notebooks. You’re expected to be comfortable with core building blocks like Delta Lake, Unity Catalog, Auto Loader, Lakeflow (Spark Declarative Pipelines + Jobs), and common patterns like the Medallion Architecture. Databricks What it really focuses on: Building secure, reliable, cost-effective ETL (Python + SQL) and handling complex sources Streaming workloads, orchestration, observability/monitoring, and schema management Performance + cost optimization, governance, and security/compliance Shipping work like a grown-up: debugging, deploying, CI/CD, and using tools like Databricks CLI, REST API, and Asset Bundles Databricks Certified Data Engineer Professional is the “production” le…
