Data Platform Engineer

ASICS Apps lives by ASICS’ founding philosophy, “Anima Sana In Corpore Sano” or “A Sound Mind in a Sound Body.” We believe in the positive benefits of movement and aspire for people all over the world to live healthful and happy lives in both body and mind.

The ASICS Apps provide digital services and goods focused on helping runners and running events every step of the way. To strengthen our commitment to runners, we are expanding our investment in endurance-related digital services, such as endurance event technology (Race Roster), leading mobile running app (the ASICS Runkeeper app), and other exciting platforms that will help us better serve the endurance industry.

Combined, these projects and products makeup ASICS Apps.

Our mission―in the past, today, and into the future―is to contribute to a healthful and sustainable society and to bring joy to the people of the world through movement. Movement is an important element in living longer healthy lives, in feeling more fulfilled, and in crossing national and cultural boundaries to bring the world together. If you are looking to join a fun and innovative company focused on the booming digital health and fitness industry, this is the place for you!

We are building our enterprise data platform from the ground up, and we are looking for a Senior Data Platform Engineer to partner directly with our Data Architect to turn a greenfield vision into an enterprise-grade reality.

In this foundational role, you won't be maintaining legacy technical debt, you will be laying down the very first lines of code and infrastructure for our data ecosystem. Crucially, you recognize that data engineering is not just about building pipelines; it’s about empowering actionable storytelling. You will bridge the gap between technical ingestion and business value - ensuring we collect, structure, and model the right data to power insights for Race Roster and our customers, while keeping our cloud platform cost-efficient and lean.

This role will be working on the Race Roster product.

The successful candidate for this role can be either a remote employee (working 100% remotely from a designated location within Canada), a hybrid employee (flexibility to work in the office or from home at a location within 75 km from the London, ON office), or an in-office employee at our London, ON office.

• Actionable story-driven engineering: Partner with the Data Architect and help build our greenfield medallion data architecture and data models that will empower internal users and customers with actionable insights around participant growth, revenue over time, registration dynamics, pricing tiers, and event performance.
• Fin Ops & cost efficiency by design: Design compute and storage architectures in Snowflake with financial discipline from Day 1 - optimizing query performance, warehouse utilization, and storage patterns to maximize platform ROI and prevent runaway costs.
• Modern ELT ingestion infrastructure: Build our first generation of ELT ingestion pipelines using Python frameworks like dlt (data load tool) to extract raw data from AWS RDS, third-party APIs, and webhooks into Snowflake, preserving raw data states to guarantee clean data lineage.
• Layered transformation pipelines: Build our bronze → silver → gold transformation flow as small, focused, easy-to-understand Snowflake Dynamic Tables - exposing only the curated gold layer to our BI tool (Metabase) and downstream consumers.
• Snowflake foundation & observability: Set up Snowflake from the ground up, implementing modern features like Snowpipe Streaming, Dynamic Tables, and Snowflake-native serverless orchestration (Tasks) - a deliberate choice over external schedulers. Bake quality into the platform using Snowflake Data Metric Functions (DMFs), native data lineage tracking, and Dynamic Data Masking.
• AI/ML integration infrastructure: Build the foundational pipelines required to feed Race Roster’s AI initiatives - supporting custom model training workflows, feature stores, and cloud AI service integrations (e.g., Amazon Rekognition).
• Fast local analysis & data apps: Leverage Python…