Senior Data Platform Engineer — Snowflake & AI Pipelines

Race Roster

London

Hybrid

CAD 120,000 - 180,000

Full time

41 hours ago
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Job summary

ASICS Apps Canada, operating as Race Roster North America Corporation, is seeking a Senior Data Platform Engineer to build a greenfield data platform from the ground up in Canada. You will partner with the Data Architect to turn a shared vision into an enterprise-grade reality, laying the foundations of code and infrastructure for data ingestion, modeling, and storytelling.

You will own ELT pipelines, data transformations, AI/ML readiness, and BI enablement with Metabase and other modern tools.

Qualifications

  • 5+ years of data engineering with business-outcome focus.
  • Experience in FinOps and cloud cost management.
  • Proven ability to translate data into actionable business insights.

Responsibilities

  • Partner with Data Architect to build greenfield data architecture and models.
  • Design compute and storage patterns in Snowflake for cost efficiency.
  • Build ELT pipelines using Python (e.g., dlt) from AWS RDS and APIs into Snowflake.
  • Develop bronze → silver → gold data transformations and expose curated gold layer to BI tools.
  • Set up Snowflake features like Snowpipe Streaming and Tasks for observability.
  • Support AI/ML initiatives with data pipelines and feature stores.

Skills

Data engineering
FinOps cost discipline
SQL, advanced window functions
Python
Snowflake
ETL/ELT
Data modeling

Education

Bachelor's or Master's in Computer Science or related field

Tools

Snowflake
Python
Jupyter
Metabase
DuckDB

Job description

ASICS Apps Canada, operating as Race Roster North America Corporation, is seeking a Senior Data Platform Engineer to build a greenfield data platform from the ground up in Canada. You will partner with the Data Architect to turn a shared vision into an enterprise-grade reality, laying the foundations of code and infrastructure for data ingestion, modeling, and storytelling.

You will own ELT pipelines, data transformations, AI/ML readiness, and BI enablement with Metabase and other modern tools.

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