Job Description
📋 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.
