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Databricks certifications

Databricks, the company behind the lakehouse platform built on Apache Spark, certifies data engineers at associate and professional level, data analysts, machine-learning practitioners, generative-AI engineers and Spark developers. The exams are multiple choice, are offered in English, Japanese, Portuguese and Korean and stay valid for two years; renewal means passing the current version again. The Data Engineer Associate exam is the one described below.

Exam delivery: Online proctored or in a test centre (Kryterion / Webassessor); registration through the Databricks Academy

A Databricks certificate answers one narrow question: can the holder do the work inside this one product? An Azure or AWS badge certifies a platform that thousands of employers rent, so much of the credential travels with a job change inside the same cloud. A lakehouse credential travels as far as the next organisation that has bought the same lakehouse. It carries weight at a company that runs Databricks and little at one that does not, which makes it a question of timing rather than of merit: the exam tests platform work fairly, and its value depends on who reads the CV.

The exam and its two-year cycle

  • Format. The Data Engineer Associate exam runs ninety minutes with forty-five questions that count, all multiple choice, and no reference material allowed; the cut score appears in Databricks' certification FAQ, not on the exam page.
  • Entry. No prerequisite. Databricks recommends its Data Engineering learning path and six months of practical work on the platform; the Academy's self-paced courses are free.
  • Renewal. The credential lapses after two years, and the only route forward is the exam's current version at the full fee. No units, no shorter refresh paper, no course bundle buys another cycle.
  • Cost over time. An exam every second year for as long as the badge is to stay live. The fee and its read date are on the exam page.

The rest of the programme

Databricks publishes a professional tier above the associate for data engineers, a separate analyst credential, and exams for machine-learning practitioners, generative-AI engineers and Spark developers. Its certification page lists the full set; the associate data-engineering exam is the only one with a page below.

Who gains from the credential

Engineers whose working week already runs on Databricks, or will within a quarter or two because a migration is signed, gain a credential that matches the job in front of them; the questions reward somebody who has broken a pipeline and fixed it. Candidates casting a wide net between jobs gain less, because the badge is legible only to employers who made the same purchasing decision, and the broader cloud data exams from Microsoft and AWS reach more of them. Anyone who moves off the platform can let the credential lapse: a lapsed lakehouse badge persuades nobody, while the pipelines built during those two years carry an interview on their own.

Associate

Frequently asked

Is it worth sitting if my employer does not use Databricks?
Rarely. The credential pays off once a platform decision has been made, or on joining a team that made it years ago. Until then a cloud-level data exam is the safer purchase, because far more employers can read it.
What does renewal involve after two years?
The current exam, sat again in full at the full fee. There are no units to bank and nothing shorter to take instead, so the two-year cycle is a recurring exam rather than a form to file.
Is the associate the whole Databricks programme?
No. A professional data-engineering tier sits above it, with analyst, generative-AI, machine-learning and Spark developer credentials alongside. Databricks lists them all on its certification page.

Official certification portal: www.databricks.com/learn/certification

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Last reviewed 26 September 2026 · Getting Digital