Lead Data & Analytics Engineer: Own Product Insights

Dutch Vet; Vancouver; On-site; CAD 185,000 - 220,000; Full time

Benefits offered by this job

Health, Dental and Vision Insurance

Life and Disability Insurance

Flexible PTO

Robust Holiday Schedule

Registered Retirement Savings Plan

Job summary

Dutch is seeking a Lead Data/Analytics Engineer to own how we measure product and business. You will run the event instrumentation pipeline and build models and metrics with a modern data stack (Segment, Amplitude, Snowflake, dbt, Prefect, Sigma) and partner with product and BI teams.

This senior individual contributor role offers ownership across dashboards, experiments, and data governance while helping scale analytics for a fast-growing telemedicine platform serving pet parents in Canada and

Qualifications

• 6+ years of experience in analytics engineering, data engineering, or hybrid data roles.
• Strong proficiency in SQL and Python.
• Deep hands-on experience with Snowflake or a comparable cloud data warehouse.
• Production experience with dbt, including testing, documentation, and CI.
• Experience with product analytics platforms, ideally Amplitude, including funnels, cohorts, experiment configuration, and identity resolution.
• Experience with customer data platforms and event pipelines, ideally Segment, including tracking plan design, destination management, and debugging.

Responsibilities

• Own the event pipeline from instrumentation through Segment into Amplitude, Iterable, and Snowflake, including sources, destinations, and reverse ETL.
• Define and publish a typed event schema and governance workflow that frontend teams build against, so event data stays consistent across web and mobile.
• Design and validate tracking plans for new features and surfaces, and confirm events flow end to end before launch.
• Partner with product managers to design experiments in Amplitude: define hypotheses, select metrics, set guardrails, and size tests.
• Build Amplitude charts, funnels, cohorts, and dashboards that help product teams answer their own questions without waiting on you.
• Debug identity resolution, user properties, and experiment assignment issues across Segment, Amplitude, and downstream tools.
• Analyze experiment results and present findings to stakeholders with clear recommendations.
• Build, maintain, and optimize ELT pipelines using dbt, Prefect and Fivetran.
• Own core datasets and dbt models in Snowflake in partnership with the BI and product engineering teams.
• Lead infrastructure modernization: orchestration and dbt version upgrades, flow runtime reduction, Snowflake compute and storage cost optimization.
• Drive warehouse security and governance work, including access controls, remediation of security assessment findings, and PII handling.
• Implement data quality tests, freshness checks, observability, and alerting across critical pipelines.
• Troubleshoot pipeline failures and data incidents, and drive root-cause fixes rather than patches.

Skills

SQL

Python

Snowflake

dbt

Prefect

Amplitude

Segment

Sigma

Looker/Tableau

GitHub Actions

A/B testing

Data contracts

ML/LLM in prod

Tools

Snowflake

dbt

Prefect

Fivetran

Segment

Amplitude

Sigma

Looker

Tableau

Airflow

Dagster

GitHub Actions

Job description

Dutch is seeking a Lead Data/Analytics Engineer to own how we measure product and business. You will run the event instrumentation pipeline and build models and metrics with a modern data stack (Segment, Amplitude, Snowflake, dbt, Prefect, Sigma) and partner with product and BI teams.

This senior individual contributor role offers ownership across dashboards, experiments, and data governance while helping scale analytics for a fast-growing telemedicine platform serving pet parents in Canada and