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Salary: CAD 185,000 - 220,000 / annual
Dutch is a veterinary telemedicine platform transforming pet care by enabling licensed vets to diagnose, prescribe, and ship medications directly to customers. Backed by top-tier investors including Forerunner Ventures and Eclipse Ventures, the company is scaling rapidly with a team of experienced founders and operators.
You will own how Dutch measures its product and business as a senior individual contributor. This role spans three core areas:
**Product Analytics & Experimentation (40%):** Own the event instrumentation pipeline from Segment through Amplitude and Snowflake. Define and publish typed event schemas and governance workflows for frontend teams. Design tracking plans for new features, validate end-to-end data flow before launch, and partner with product managers to design and analyze A/B experiments. Build self-service Amplitude dashboards, funnels, and cohorts so product teams can answer their own questions. Debug identity resolution and experiment assignment issues across tools.
**Data Engineering & Infrastructure (35%):** Build and maintain ELT pipelines using dbt, Prefect, and Fivetran. Own core datasets and dbt models in Snowflake in partnership with BI and product engineering teams. Lead infrastructure modernization including orchestration upgrades, flow optimization, and Snowflake cost reduction. Drive warehouse security, governance, access controls, and PII handling. Implement data quality tests, freshness checks, observability, and alerting. Troubleshoot pipeline failures and drive root-cause fixes.
**Metrics, Semantic Layer & AI Data Products (25%):** Deliver data marts powering product features like recommendations and personalization. Contribute to the semantic layer providing a single source of truth for metric definitions. Supply reliable, governed data to AI features improving member and vet workflows. Define and document core company metrics ensuring consistent calculation across teams.
You'll work with a modern data stack: Segment, Amplitude, Snowflake, dbt, Prefect, and Sigma. You'll partner closely with the BI team and product engineering to ensure every dashboard, metric, and experiment runs on trusted data.
**Requirements:**
- 6+ years in analytics engineering, data engineering, or hybrid data roles
- Strong proficiency in SQL and Python
- Deep hands-on experience with Snowflake or comparable cloud data warehouse
- Production experience with dbt including testing, documentation, and CI
- Experience with product analytics platforms, ideally Amplitude (funnels, cohorts, experiments, identity resolution)
- Experience with customer data platforms and event pipelines, ideally Segment (tracking plan design, destination management, debugging)
- Demonstrated experience designing and analyzing A/B tests or product experiments
- Experience with orchestration tools (Prefect, Airflow, or Dagster)
- Comfortable with Git-based workflows and CI/CD tools like GitHub Actions
- Daily use of AI tools (code assistants, LLMs) with demonstrated examples
- Familiarity with BI tools (Sigma, Looker, or Tableau)
- Bonus: semantic layers, data contracts, ML/LLM production applications, cloud infrastructure (AWS, GCP, Azure)
