
Vancouver dbt Meetup, Oct 2026
About the event
Welcome to the Vancouver dbt Meetup 👋
dbt Meetups are networking events open to everyone working with data! Talks typically focus on community members’ experiences with dbt. You may also hear presentations on broader topics such as analytics engineering, modern data stacks, AI, data operations, modeling, testing, and team structures.
To attend this event, please review and agree to the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy
⚠️ Our venue has limited capacity, so please only RSVP if you plan to attend. If your plans change, update your RSVP to “Not Going” as soon as possible. Message the organizer if you need assistance.
Agenda
6:00 > Arrive, Eat, Drink 6:30 > Speaker 1 7:00 > Speaker 2 7:30 > Socialize
1st Speaker:
• [Daniel Goldberd](https://www.linkedin.com/in/daniel-goldberg-08351a169/), Mercury • Talk: "Your Title Isn't Your Job Anymore", about how data roles are converging into a single full-stack function, and why analytics engineering is turning into a skill everyone on the data team uses rather than a job title
2nd Speaker:
• [Kyle Cheung](https://www.linkedin.com/in/cheung-kyle/), Greybeam • Talk: "Running DuckDB and Snowflake in Production", about saving costs with DuckDB while running the dbt project in Snowflake
Venue
📍We are going to meet in the heart of Vancouver downtown, thanks to our host [Clarity](https://www.clarity.com/). Just meet at the entrance and someone will be there to escort you in for check-in.
🏠 Address: 980 Howe st, Vancouver, BC
Reach out if you're interested in volunteering/speaking!
➡️ Join the dbt Slack community: [https://www.getdbt.com/community/](https://www.getdbt.com/community/)
For the best Meetup experience, make sure to join the #local-vancouver channel in dbt Slack ([https://slack.getdbt.com/](https://slack.getdbt.com/)).
dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust.
Learn more: [https://www.getdbt.com/](https://www.getdbt.com/)