Get dbt certified. Stay certified. Stay ahead.

Blog / Learn / Get dbt certified. Stay certified. Stay ahead.Get dbt certified. Stay certified. Stay ahead.Laurent GoldsztejnLast edited on May 20, 2026dbt keeps moving. The practitioners who build with it should move with it.Analytics engineering has matured quickly. Employers expect more,...

Blog / Learn / Get dbt certified. Stay certified. Stay ahead.Get dbt certified. Stay certified. Stay ahead.Laurent GoldsztejnLast edited on May 20, 2026dbt keeps moving. The practitioners who build with it should move with it.Analytics engineering has matured quickly. Employers expect more, projects are more complex, and the bar for what good looks like keeps rising. If you work with dbt, getting certified isn't just a nice-to-have. It's how you prove you're operating at the standard the industry now demands.Why get certified?Because credibility matters, and proof beats claims every time.The dbt Labs certification program offers two exams designed for the practitioners actually building data pipelines, writing models, and owning data quality in production. Whether you're an analytics engineer, a data analyst moving into engineering, or a dbt platform power user, there's a path built for where you are.Passing the exam tells employers, clients, and collaborators something a resume line can't: you've been tested against a real standard, and you passed.It helps you:Stand out as an expert in a crowded field of dbt practitionersBuild trust faster with new teams and clientsMove into senior roles with a credential that backs you upShow your employer that their investment in you is paying off as you continue learningTwo exams. One standard.The dbt Analytics Engineering Certification tests your ability to apply dbt's core framework—modeling, testing, documentation, and deployment—the way it's actually done in production environments.The dbt Architect Certification tests your ability to design secure, scalable dbt implementations, with a focus on environment orchestration, role-based access control, integrations with other tools, and collaborative development workflows aligned with best practices.Together, they cover the full range of what it means to work with dbt at a high level.By getting certified, you’ll join 3,100+ other dbt developers and architects who have earned the credential.Get certified on dbtBecause relevance matters as much as experience.dbt evolves. Best practices shift. An active certification tells the world you're keeping pace, and not coasting on knowledge from two years ago.If you let your certification lapse, it doesn't erase what you know. But it weakens the signal at exactly the moment someone is deciding whether to trust you with their data stack.Stay certified to show you're current, not just experienced. Committed, not complacent.This is your moment.This isn't starting over. With the dbt Analytics Engineering Exam updated to align with dbt Core 1.11, it's your chance to close any gaps, get hands-on with what's changed, and prove your skills against the standard that matters today. To sharpen your preparation, we’re including 10 sample questions on the web page and in the study guide so you know what to expect before you sit for the exam.And when you pass the exam again to regain your credential? It'll mean even more.Keep your edgeCertification isn't a one-and-done achievement. It's a standard you maintain, and a signal to everyone you work with that you take this craft seriously.So whether you're earning it for the first time or earning it again: Stay certified. Stay relevant. Stay ahead.Stand apart with dbt Certification.Get started in dbtJoin the analytics engineers building data infrastructure that actually scales. Get started with dbtInstall dbt Wizard CLIGet started with an agent purpose-built for analytics engineering. It knows which tool to call, which context to pull, and checks its own work before surfacing anything to you.Install dbt Wizard CLIShare this articleCopy post linkLatest postsProduct8 minThe productivity gains hiding in your data infrastructureDaniel Poppyon Jul 08, 2026Product13 minSolving dashboard errors in minutes: How Integral Ad Science used MCP to connect agents to dbt and DatabricksDaniel Poppyon Jul 07, 2026Insights20 minA guide to implementing AI data pipelinesStephen Thibeaulton Jul 06, 2026The dbt CommunityJoin the largest community shaping dataThe dbt Community is your gateway to best practices, innovation, and direct collaboration with thousands of data leaders and AI practitioners worldwide. Ask questions, share insights, and build better with the experts.Join the CommunityExplore the community100,000+active members50k+teams using dbt weekly50+Community meetups

Source: dbt — Published — Category: Models

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