Data Platform Engineer in London

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. Our mission is to contribute to a healthful and sustainable society and to bring joy to the people of the world through movement.

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. 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• Set up Snowflake from the ground up, implementing modern features like Snowpipe Streaming, Dynamic Tables, and Snowflake-native serverless orchestration (Tasks).
• Bake quality into the platform using Snowflake Data Metric Functions (DMFs), native data lineage tracking, and Dynamic Data Masking.
• 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).
• Leverage Python notebooks (Jupyter, marimo), DuckDB, and Parquet/Arrow for rapid local prototyping, paired with Streamlit or Gradio to build lightweight prototype data apps and dashboards.
• Actively integrate AI coding assistants and LLM-powered SQL/Python generation into your daily workflow to accelerate platform buildout, write tests, and document systems as we build them.

Education & Experience

• 5+ years of data engineering experience with a demonstrated focus on business outcomes over raw plumbing.
• Hands-on experience managing and optimizing cloud infrastructure costs (FinOps), particularly around Snowflake warehouse sizing, query profiling, and auto-suspend configuration.
• Establish clean engineering standards around FinOps, data lineage, and data quality as foundational practices.
• Understanding load-then-transform (ELT) architectures with Snowflake.
• Advanced SQL fluency - window functions, CTEs, semi-structured data (JSON/VARIANT), and reading query profiles to diagnose and optimize slow or expensive queries.
• Strong hands-on experience with Snowflake core concepts, streaming ingestion patterns, performance tuning, and native governance features (DMFs, lineage, dynamic masking).
• Experience orchestrating and scheduling data pipelines - with Snowflake Tasks and Dynamic Tables refresh, or external tools like Airflow, Dagster, or Prefect.
• Understanding of how BI tools consume data models, with experience in Metabase or similar (Looker, Tableau, Power BI).
• Experience handling PII responsibly - masking, role-based access controls, and retention - with working knowledge of privacy regulations such as GDPR and CCPA.
• Experience ingesting data from relational databases (AWS RDS / Postgres / MySQL), AWS SQS, and REST APIs.
• Proficiency in Python, including interactive notebooks (Jupyter, marimo) and rapid frontend/dashboard frameworks (Streamlit, Gradio, etc.).
• Familiarity with Infrastructure as Code (Terraform), Git workflows, CI/CD automation, and containerized environments (Docker).
• Thrives in a small founding team where requirements evolve - able to work through ambiguity independently and communicate technical decisions and trade-offs clearly to non-technical stakeholders.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 8+ years of experience in software development.

The successful candidate for this role will become an employee of Race Roster North America Corporation (doing business as ASICS Apps Canada), a subsidiary of ASICS Corporation, a Japanese multinational corporation. Race Roster was founded in London, Ontario in 2011. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, sex, place of origin, ethnic origin, ancestry, citizenship, creed, record of offenses, genetics, disability, age, marital status, family status, veteran status, or fitness level. Accommodations are available on request for candidates taking part in all aspects of the selection process.