dbt Labs’ cover photo
dbt Labs

dbt Labs

Software Development

Philadelphia, PA 128,814 followers

The creators and maintainers of dbt

About us

Since 2016, dbt Labs has been on a mission to help data practitioners create and disseminate organizational knowledge. dbt is the standard for AI-ready structured data. Powered by the dbt Fusion engine, it unlocks the performance, context, and trust that organizations need to scale analytics in the era of AI. Globally, more than 60,000 data teams use dbt, including those at Siemens, Roche and Condé Nast.

Website
https://www.getdbt.com
Industry
Software Development
Company size
501-1,000 employees
Headquarters
Philadelphia, PA
Type
Privately Held
Founded
2016
Specialties
analytics, data engineering, and data science

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Locations

Employees at dbt Labs

Updates

  • View organization page for dbt Labs

    128,814 followers

    We’re hiring in India 🇮🇳 Our new Engineering Tech Hub in India is officially open, and we’re looking for our first technical hires in the region. 👩💻 Senior Engineering Manager- https://lnkd.in/gHfJuj6w Help scale the team building dbt. You’ll grow and mentor engineers, drive technical execution, and shape how our India hub delivers on dbt’s mission worldwide. 🛠️ Lead IT Systems Engineer- https://lnkd.in/gG4avxqj Own the systems that power dbt Labs internally. From security to scalability, you’ll design and run the infrastructure that keeps a global, distributed team moving. We’re just getting started. Keep an eye out for more open roles.

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  • A new episode of The View on Data just dropped 🎙️ Faith McKenna (Lierheimer), Erica Louie, Paige A.C. Berry, and Jerrie Kumalah Kenney tackle one of the most persistent myths in data: that every decision needs pristine, statistically significant datasets. Spoiler: You can make strong calls with messy, incomplete, or inconsistent data. They break down what “good enough” looks like in practice, how to set expectations with stakeholders, and why confidence in your own analysis matters just as much as precision. They also share lessons on communicating clearly when the data isn’t perfect and why progress often beats perfection. 🎧 Listen and subscribe wherever you get your podcasts.

  • We’re going live on LinkedIn with phData 🙌 In this 30-minute session, you’ll get: • A live demo of dimensional modeling best practices in the dbt platform • Advanced Q&A: bring your questions on paradigms like Activity Schema, governance tradeoffs, and scaling strategies • Practical insights for practitioners and leaders who want to design models that last 📅 Oct 9 | 1:30 PM ET Featuring: Dakota Kelley (phData) and Stephen Robb (dbt Labs)

    Data modeling for success: Part 2 (fast follow-up)

    Data modeling for success: Part 2 (fast follow-up)

    www.linkedin.com

  • Analytics and AI demand a stronger foundation. That’s where dbt comes in. In this 30-minute demo with Sara Gawlinski, you’ll see how dbt helps you: ✨ Discover and trust your data with dbt Catalog and lineage ✨ Develop faster with built-in testing and documentation ✨ Collaborate across roles with dbt Canvas and Insights ✨ Operate efficiently with orchestration and spend dashboards Catch the on demand demo here: https://lnkd.in/gMFjQD5G

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  • Stored procedures might keep your data pipelines running, but they come with hidden costs that slow down strategic progress: ⚠️ Trust → Black-box logic with no tests or lineage erodes confidence ⚠️ Talent → Frustrating workflows make it harder to attract and retain great data professionals ⚠️ AI readiness → Stored procedures aren’t built for modern AI ecosystems ⚠️ Business value → Fragile pipelines and manual debugging tax your team’s capacity Migrating to dbt unlocks: ✅ Transparent lineage, documentation, and testing that build trust ✅ Standardized workflows that shorten onboarding by 30% ✅ Rich metadata and structure to power AI projects ✅ Faster development cycles and 20% more capacity for innovation Check out this guest post from Ryan Bennett, Lead Data Engineer at phData, on how moving from stored procedures to dbt builds trust, strengthens teams, and gets your org ready for AI https://lnkd.in/gMzW-rVM

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  • Conferences don’t usually change careers. Coalesce is different. Whether you’re building your first model or leading a global data team, this year’s program is designed to help you grow your skills, your network, and your impact. Here’s what’s in store: 🛠️ 𝗛𝗮𝗻𝗱𝘀-𝗼𝗻 𝗹𝗮𝗯𝘀 𝘄𝗶𝘁𝗵 𝗱𝗯𝘁 𝗲𝘅𝗽𝗲𝗿𝘁𝘀  • Build a data quality framework • Manage cost with dbt • Upgrade to Fusion • Develop with dbt Canvas and Mesh 🏆 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗱𝗯𝘁 𝗠𝗖𝗣 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻 Walk away with working code you can take back to your team. 🎓 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴𝘀 𝘁𝗵𝗮𝘁 𝗴𝗼 𝗯𝗲𝘆𝗼𝗻𝗱 𝘁𝗼𝗼𝗹𝗶𝗻𝗴  • Become a dbt Architect • Tie analytics work to business value • Explore AI workflows built on trusted data 👥 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆  • Join the Women in Data session • Network with thousands of data practitioners and leaders • Find your next collaborator, mentor, or hire 📚 𝗕𝗿𝗲𝗮𝗸𝗼𝘂𝘁 𝘁𝗿𝗮𝗰𝗸𝘀 𝗼𝗻: • Analytics development best practices • AI and dbt • Data modernization • Scaling dbt • Empowering self-service Register for #dbtCoalesce now: https://lnkd.in/gp86wFrA

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Funding

dbt Labs 4 total rounds

Last Round

Series D

US$ 222.0M

See more info on crunchbase