Data Architect governing World Vision Canada's nonprofit enterprise data architecture. Defining cloud data standards, governance, security and reusable platforms remotely within Canada.
About the role
- Senior Data Engineer building scalable data infrastructure on Snowflake and AWS for a dynamic iGaming startup. Collaborating closely with analysts to turn raw data into trustworthy data products and insights.
Responsibilities
- Data modeling & transformation
- Build and maintain DBT models in Snowflake — design layered architecture (staging, intermediate, marts), write data quality tests (Elementary)
- Write clean, well-structured Python and SQL; participate in code reviews and help define engineering standards for the data team
- Design and maintain data pipelines using Airflow (DAGs in Python)
- Manage data integrations via Airbyte — starting with marketing sources (GA4, Facebook Ads, TikTok Ads) and expanding to other streams over time
- Use AWS S3 as the primary storage layer — manage buckets, partitioning, and access control
- Own CI/CD pipelines for data workflows — automated testing, deployment, and monitoring
- Monitor data quality and pipeline reliability; proactively identify and fix issues before they reach downstream consumers
- Work closely with analysts to understand their data needs and translate them into well-modeled datasets
- Bridge the gap between raw data and analyst-ready tables — create models clearly so analysts can work independently
Requirements
- 4+ years building production data pipelines
- Strong hands-on experience with Snowflake and DBT (models, tests)
- Advanced SQL — you write it fluently and can optimize it when needed
- Python proficiency for Airflow DAG development and ETL development
- Basic AWS knowledge (S3, IAM — enough to operate independently)
- Basic understanding of CI/CD
- Nice to have: Experience with Power BI, OpenMetadata
- Familiarity with marketing data sources: GA4, Facebook Ads API, TikTok Ads API
- Knowledge of marketing attribution models (first-touch, last-touch, data-driven)
Benefits
- Fully remote job - work from anywhere you want
- Flexible working hours
- Competitive compensation
- 28 paid days off per year
- 3 paid sick days a year without medical certificate
- Seniority leave
- Birthday Day off
- Real career opportunities and professional growth
- The great team across the world
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