Data Engineering & Infrastructure (50%)

• Build, maintain, and optimize ELT pipelines using dbt, Prefect, Fivetran, and Airbyte

• Own core datasets and dbt models in Snowflake in partnership with the BI and product engineering teams

• Lead infrastructure modernization, including orchestration and dbt version upgrades, flow runtime reduction, and 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

Event Tracking & Product Analytics (30%)

• Own the event pipeline from instrumentation through Segment into Amplitude and Snowflake, including sources, destinations, and reverse ETL

• Define and publish a typed event schema and governance workflow that frontend teams implement against, so event data stays consistent across web and mobile

• Design and validate tracking plans for new features and surfaces, and confirm events flow reliably end to end

• Debug identity resolution, user properties, and experiment assignment issues across Segment, Amplitude, and downstream tools

• Build Amplitude charts, funnels, and dashboards that help product teams answer their own questions

Analytics & AI Support (20%)

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

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

• Contribute to the semantic layer that lets AI tools answer data questions accurately

• 5 years of experience in 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 customer data platforms and event pipelines, ideally Segment, including tracking plan design and destination debugging

• Experience with product analytics tools, ideally Amplitude, including funnels, experiments, and identity resolution

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

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

• Experience working with cloud infrastructure (AWS, GCP, or Azure)

• Familiarity with BI tools like Sigma, Looker, or Tableau

• Bonus: experience with semantic layers, data contracts, or supporting ML and LLM applications in production

Why You're a Great Fit

• You take ownership of data reliability and treat trust in the numbers as the product

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

• You care deeply about data quality, reproducibility, and documentation

• You believe good instrumentation is what makes analytics and AI work

• You love animals

• Competitive salary range of $185,00 - $220,000 CAD

• Health, Dental, and Vision Insurance

•  Life and Disability Insurance

• Flexible PTO

• Mental Wellbeing Options

• Robust Holiday Schedule

• Retirement savings plan

• Growth Opportunities

• Significant growth trajectory — you will be building something that matters, at scale, right now.

• 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.