Who you are

- 6+ years operating production data platforms with hands-on ownership of dbt + cloud-warehouses (Snowflake strongly preferred)

- 6+ years solid production Python and software-engineering fundamentals (typing, testing, code review, and automated deployment)

- A default mindset geared toward systems architecture, API contracts, and failure modes
- The instinct to manage cloud spend, warehouse performance, and data quality without being asked

- People get better at their jobs working with you

- You've built backend infrastructure for production LLMs (e.g., observability frameworks, evaluation pipelines, or cost attribution)

- You have practical ML engineering experience

What the job involves

- We're looking for a Lead Data/AI Engineer to own the pipelines, event tracking, and data models that power analytics, reporting, and AI features across Dutch

- This role sits at the center of our modern data stack:



Segment and Amplitude for behavioral data, Snowflake and dbt for warehousing and modeling, Prefect for orchestration, and Sigma for BI

- You'll partner closely with the BI team, which governs all data model builds, and with product engineering to make sure every dashboard, metric, and product decision runs on data the company trusts

- Co-own our dbt + Snowflake platform (700+ models, Prefect, Fivetran)

- Isolate warehouse workloads and safeguard model dependencies to catch upstream data failures before they break production features

- Develop shared observability pipelines, prompt evaluation harnesses, and cost-tracking tooling for our LLM stack

- Set the technical standard for the team, mentoring engineers on Python code quality, CI/CD workflows, and reliable system design

📌 Lead Data & AI Engineer (Vancouver)
🏢 Dutch
📍 Vancouver