Hybrid Solutions Architect in Data Engineering
Summary
A hybrid, full-time Solutions Architect role in Toronto focused on data engineering with Snowflake. The person delivers end-to-end data solutions — migrations, integrations (Snowpipe, Streams), governance, and AI/ML support via Snowpark — on cloud platforms such as AWS, Azure, or GCP.
You will be instrumental in delivering end-to-end data solutions that enhance client performance. Drawing upon your extensive knowledge of Snowflake, you'll lead projects that involve data migration, integration, and governance, ensuring the scalability and efficiency of our data platforms. Your ability to work with cross-functional teams will be essential for driving innovative solutions.
Key Responsibilities: • Implement comprehensive data solutions from concept to deployment • Shape and lead data governance frameworks • Manage integration projects using Snowpipe and Streams • Support analytics teams in AI/ML projects with Snowpark • Build optimal data platforms in AWS, Azure, or GCP
Requirements: • 5+ years in data architecture with Snowflake experience • Proven ability to manage Snowflake performance issues • Deep understanding of cloud services, especially AWS • Strong skills in SQL and Python • Excellent stakeholder management and communication skills
Drive impactful data initiatives at Project X Ltd. in Toronto while utilizing your Snowflake expertise.