Senior Data Engineer

📋 Description

• Lead architecture, design, and deployment of enterprise data platforms.
• Own technical delivery across multiple client engagements with quality standards.
• Define solution architecture, roadmaps, and implementation strategies.
• Conduct architecture and code reviews; establish engineering best practices.
• Mentor data engineers and drive technical excellence.
• Partner with Fortune 500 clients to translate requirements into scalable solutions.

🎯 Requirements

• Bachelor's or Master's in CS/Data Eng/Software Eng or related.
• 8+ years designing and building enterprise-scale data platforms.
• 5+ years with Databricks and Apache Spark.
• Proven leadership of enterprise data engineering projects end-to-end.
• Strong Python, SQL, and Spark for large-scale processing.
• Experience with AWS, Azure, or Google Cloud Platform.

🎁 Benefits

• Hybrid work: three days/week in downtown Toronto office.
• 100% employer-paid health, dental, and vision coverage from day one.
• Ongoing learning and professional development opportunities.