About Us
Dutch is transforming veterinary care by making expert treatment accessible anytime, anywhere. Our mission is simple: help every pet live their happiest, healthiest life by connecting pet parents with licensed vets through seamless virtual visits.

We're the only veterinary telemedicine service that can diagnose, prescribe, and ship medications directly to customers in most states. For less than $100 per year, Dutch offers real relief and convenience for pets and their families.

Backed by world-class investors including Forerunner Ventures, Eclipse Ventures, and Bling Capital, our team is made up of successful startup founders (Hims, PlushCare, Nasty Gal) with expertise in scaling enterprises (TripAdvisor, Walmart, BARK). Featured in TechCrunch, Forbes, Wired, and Axios, Dutch is setting the standard for quality, accessibility, and compassion in pet care.

The Role
We're looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You'll run the event instrumentation pipeline, build the models and metrics layers that teams use to make decisions, and sit shoulder-to-shoulder with product managers to design and analyze experiments. When data engineering work needs doing, you can pick it up without missing a beat.

This is a senior individual contributor role. You'll work across 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 with the BI team (which governs all data model builds) and with product engineering to make sure every dashboard, metric, and experiment runs on data the company trusts.

WHAT YOU'LL DO:
Product Analytics & Experimentation (40%)

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

Data Engineering & Infrastructure (35%)

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

Metrics, Semantic Layer & AI Data Products (25%)

Deliver ready-to-consume data marts that power product features such as recommendations and personalization, plus the baselines to measure them

Contribute to the semantic layer that gives BI tools and AI features a single source of truth for metric definitions

Supply reliable, well-governed data to AI features that improve the member experience and vet workflows

Define and document the company's core metrics so every team calculates things the same way

WHAT YOU'LL BRING:

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





Demonstrated experience designing and analyzing A/B tests or product experiments

Experience with orchestration tools such as Prefect, Airflow, or Dagster

Comfortable with Git-based workflows and CI/CD tools such as GitHub Actions

Uses AI tools (code assistants, LLMs, etc.) as part of daily work and can show how

Familiarity with BI tools like Sigma, Looker, or Tableau

Bonus: experience with semantic layers, data contracts, ML/LLM applications in production, or cloud infrastructure (AWS, GCP, or Azure)

WHY YOU'RE A GREAT FIT:

You treat trust in the numbers as the product. When a metric is wrong, you feel it personally

You can build an event taxonomy from scratch and also explain to a PM why their experiment needs a bigger sample size

You're as comfortable writing dbt models as you are reviewing an experiment readout with a product lead

You use AI tools every day to move faster and expect to keep pushing that boundary

You're self-directed and comfortable managing your own priorities in a fast-moving environment

You care about data quality, reproducibility, and documentation because you've been burned by their absence

You love animals

WHY WORK FOR DUTCH?

Market-competitive salary range between $185K - $220K CAD

Hybrid working location

Health, Dental and Vision Insurance

Life and Disability Insurance

Flexible PTO

Mental Wellbeing Options

Robust Holiday Schedule

Registered Retirement Savings Plan

Growth Opportunities!

DUTCH'S GUIDING PRINCIPLES

Pets First - business and medical decisions are always guided by the pet's best interest. We'll never compromise on pet health and we're all here because we care about their well-being

Agile Like a Cat - We have a bias toward swift action, while maintaining quality and accuracy. For us, that means being able to turn on a dime, like a cat, analyze our options - even ones that may not be on the table - then execute without perfection getting in the way

Creativity is our Catnip - Creativity feeds us and helps us push boundaries to always find better solutions, making the complex more accessible and easier to understand

Be the Human Your Dog Thinks You Are - Be kind, show care for your colleagues, and even if you're an expert - give others context, reinforce the positive, and help them understand.

#J-18808-Ljbffr

📌 Lead Data/Analytics Engineer (British Columbia)
🏢 Dutch
📍 British Columbia