Elevate your career with ShyftLabs as a Lead Data Engineer, focusing on enterprise-scale data platforms for Fortune 500 clients. Harness your technical expertise in Databricks, Apache Spark, and cloud solutions.
In this senior role, you will lead the architecture, design, and implementation of scalable data platforms. With at least eight years of experience in data engineering, you will drive technical delivery across projects while mentoring junior engineers. Your strong communication skills will enable effective partnership with enterprise clients to deliver impactful data solutions.
Key Responsibilities:
• Lead architecture and design of data platforms from inception to deployment
• Maintain high-quality engineering standards across client engagements




• Define technical roadmaps aligned with business goals
• Conduct architecture and code reviews to enhance best practices
• Mentor Data Engineers to foster technical growth
Requirements:
• Bachelor's or Master's in Computer Science or related
• 8+ years designing enterprise-scale data platforms
• 5+ years with Databricks and Apache Spark
• Strong expertise in Python, SQL, and data processing
• Experience with AWS, Azure, or Google Cloud
Shape the future of data engineering at ShyftLabs, leveraging your expertise to deliver creative solutions.
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📌 Lead Data Engineer at ShyftLabs (Toronto)
🏢 ShyftLabs
📍 Toronto