Lead Data/Analytics Engineer

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?
• -
• 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.