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.
External link for dbt Labs
dbt is a transformation framework that enables analysts and engineers collaborate with their shared knowledge of SQL to deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. dbt’s analytics engineering workflow helps teams work faster and more efficiently to produce data the entire organization can trust.
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The 2026 State of Analytics Engineering survey is here 🎉 This is your chance to share the wins, struggles, and trends shaping data teams worldwide. We want to hear from you. Take the survey: https://lnkd.in/gU7JRyXv But first, a quick warm-up question for the community👇
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Coalesce on the Road wrapped an incredible week in Munich 🇩🇪 and Amsterdam 🇳🇱 We connected with data practitioners across Europe, shared ideas, and saw firsthand how the dbt Community continues to grow and collaborate everywhere we go. A huge thank you to our partners Fivetran, INFOMOTION GmbH, Scalefree, InterWorks, and INFORM DataLab GmbH for helping us bring these events to life. Next stop: Tokyo 🇯🇵 and North America 🇺🇸 Find a city near you → https://lnkd.in/g3zyX7FU
You can’t predict every question your users will ask your conversational AI assistant. But you can design the structure it relies on. A well-modeled dbt project gives AI guardrails: ✔ governed metrics ✔ clear joins ✔ lineage ✔ tests ✔ definitions ✔ permissions ✔ optimized queries that won’t explode your warehouse costs This structured context layer turns AI from guessing into reasoning, keeping queries reliable and efficient. Read more about how it works in our latest blog (link in comments)
A great crowd at #AWSreInvent last night for our lightning session with Nasdaq ⚡ Michael Weiss (Nasdaq) shared how their team is partnering with dbt to deliver enterprise-grade transformation tooling, combining data mesh principles, standardized contracts, and flexible pipelines to scale globally. It was great connecting with teams who are thinking deeply about the future of data transformation.
We’re here in Vegas for #AWSreInvent 🙌 Find us at Booth 1924 all week for live demos and a look at how dbt and Amazon Web Services (AWS) help teams move faster and scale smarter. Come say hi and talk data. 📅 Book a 1:1 → https://lnkd.in/gRas9Aiw
Can AI actually do analytics engineering? We’ve seen the demos and heard the claims, but until now, there hasn’t been a rigorous way to test how well AI agents perform on real analytics and data engineering tasks. Join Benn Stancil and Jason Ganz on Dec 9 for the launch of ADE-bench, an open benchmark that measures how coding agents perform on the kinds of dbt-based workflows data teams run every day. They’ll walk through how the benchmark was built, what they learned from early runs, and how you can use it to evaluate AI models in your own environment. Save your seat: https://lnkd.in/gnch2VgN
Cloud costs are climbing faster than your holiday to-do list 💸, and most data teams are still paying for model runs they don’t need. Join Patrick Vinton (Analytics8 | Data & Analytics Consultancy), Tyson Doberneck (Obie), Matthew Karan (Obie), and Reuben McCreanor (dbt Labs) for a live session on how teams are cutting 29%+ warehouse spend with the dbt Fusion engine by running only what’s changed and optimizing test execution. They’ll also share how Fusion boosts developer efficiency with built-in lineage, previews, and the VS Code extension, plus a sneak peek at upcoming cost-optimization features like semantic-aware CI and orchestration controls. Save your seat: https://lnkd.in/evs-UqNA
Heading to #AWSreInvent next week? Here’s where to find us. 📍 Booth 1924 See live demos, talk to dbt experts, and learn how to build and scale trusted data products with dbt and Amazon Web Services (AWS). Book a 1:1 with our team while you’re there to get personalized insights on your data strategy. ⚡ Lightning Session Hear from Nasdaq on Wednesday, Dec 3 at 4:30 p.m. as they share how they’re using dbt to deliver enterprise-grade transformation tooling through an OEM approach. 🥂 Rewrite the Night Join us and Fivetran for an after-hours salon for data and AI leaders on Thursday, Dec 4, from 5:30–7:30 p.m. at 1923 Prohibition Bar (Mandalay Bay). See all the details → https://lnkd.in/gYPqMGqW
🧡 Employee Spotlight: Trilok Ramakrishna 🧡 As Sr. Director, Engineering in India, Trilok Ramakrishna is helping shape the next chapter of dbt Labs’ global growth. With deep experience in infrastructure engineering and a passion for building strong, values-driven teams, Trilok is leading the effort to establish and grow dbt Labs’ engineering organization in India. 𝗪𝗵𝘆 𝗱𝗶𝗱 𝘆𝗼𝘂 𝗷𝗼𝗶𝗻 𝗱𝗯𝘁 𝗟𝗮𝗯𝘀? I joined dbt Labs because it represents a rare intersection of strong values, open-source impact, and the opportunity to build something meaningful from the ground up. Having spent much of my career in infrastructure engineering and working most recently at companies like GitHub and HashiCorp, both known for their developer focus, transparency, and craftsmanship. dbt Labs felt like a natural next step. The company’s culture of humility, long-term thinking, and customer empathy deeply resonated with me. Beyond the product and community, what really drew me was the chance to establish and grow a world-class engineering organization in India, one that mirrors dbt Labs’ global standards while leveraging the incredible talent and energy of this region. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗱𝗯𝘁 𝗟𝗮𝗯𝘀 𝘀𝘁𝗮𝗻𝗱 𝗼𝘂𝘁 𝗮𝘀 𝗮𝗻 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗿? What sets dbt Labs apart is its clear vision and deep investment in people. The company hired a site lead first before expanding into India, showing long-term commitment to building world-class engineering here. Leadership has been incredibly supportive throughout, providing resources, mentorship, and genuine partnership in shaping dbt's presence in India. Beyond culture, dbt Labs offers tangible benefits such as competitive compensation, excellent health coverage, and strong professional development support. Employees are encouraged to learn and grow through conferences, courses, and community contributions. 𝗪𝗵𝗮𝘁 𝗮𝗱𝘃𝗶𝗰𝗲 𝘄𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗴𝗶𝘃𝗲 𝘁𝗼 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘀𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝘁𝗵𝗲𝗶𝗿 𝗰𝗮𝗿𝗲𝗲𝗿 𝗮𝘁 𝗱𝗯𝘁 𝗟𝗮𝗯𝘀 𝘄𝗵𝗼 𝗶𝘀 𝗲𝗮𝗴𝗲𝗿 𝘁𝗼 𝗴𝗿𝗼𝘄 𝗮𝗻𝗱 𝗮𝗱𝘃𝗮𝗻𝗰𝗲? Joining dbt Labs now, especially in India, is a unique opportunity. As early team members, you'll help build a new chapter and shape the culture, systems, and ways of working for our India organization. This is a rare chance at a company with strong global momentum. My advice for anyone starting here: • Work as one team — we succeed through open collaboration and shared goals. • Have a builder's mindset — take ownership, be curious, and help create systems as we grow. • Think long-term — focus on durable impact over quick wins. We’re building teams that care deeply about their work. Explore open roles at dbt Labs: https://lnkd.in/gFHgVcZj