Constructing an end-to-end dbt pipeline and scaling trustworthy AI with agentic data engineering.
A 1- or 2-day intensive for data teams ready to move beyond basic transformations. Day 1 builds a complete, production-grade dbt pipeline. Day 2 puts AI to work on top of it — using Model Context Protocol (MCP), dbt Copilot, and agentic CI/CD to reduce development timelines by up to 70%.
Project setup, environments, and Git workflows connected to Snowflake
Model building with sources, seeds, snapshots, and incremental materializations
Jinja templating, custom macros, and reusable SQL patterns
Automated testing, CI/CD pipelines, and Slim CI for production deployments
AIAD enablement (optional add-on)
dbt Copilot for automated documentation and transformation logic
Model Context Protocol (MCP) with Claude Code (Agentic Platform) for local engineering assist
AI-driven code review and platform agents
Talk to Your Data (TTYD): business-grounded query experiences that return consistent answers
Who should attend
Analytics Engineers adopting or scaling dbt
Data Engineers building or modernizing transformation pipelines
Warehouse Administrators on Snowflake or other cloud platforms
Data & Analytics Leaders evaluating AI-augmented data engineering
Why phData
This workshop is led by phData experts, practitioners who build these pipelines for enterprise clients. Build exercises run against your warehouse and Git setup, not a generic demo environment.
Snowflake Elite Services Partner (7× Partner of the Year)
AWS Premier Partner (2025 Design Partner of the Year)
Anthropic Preferred Partner
dbt Visionary Partner (3× Partner of the Year, 2023–2025)
Request a workshop
Ready to build?
Tell us about your team and we’ll get something scheduled.
