Take charge as a Lead Data Platform Engineer, designing and optimizing scalable data platforms for enterprise analytics. This leadership role combines hands-on engineering with strategic mentoring of teams toward best practices in data solutions.
In this role, you will be responsible for developing and maintaining data pipelines and workflows while optimizing platforms using technologies like Hadoop and Databricks. You will work closely with cross-functional teams, translating business analytics into robust engineering solutions, while leading discussions around data modeling and performance. Mentoring fellow engineers as well as contributing to platform scalability and architecture will also be key aspects of your work.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines and workflows




• Build platforms leveraging Hadoop and Databricks
• Integrate structured and semi-structured data into solutions
• Lead discussions on data modeling and performance optimization
• Mentor engineering teams on best practices
Requirements:
• 8+ years of data engineering experience
• 2+ years in a technical leadership role
• Solid Python skills, especially with Pandas and PySpark
• Hands-on experience with Hadoop and large-scale processing
• Proficiency in advanced SQL and cloud platforms
Lead data engineering initiatives that drive enterprise-level analytics and performance.
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📌 Lead Data Platform Engineer Role Toronto
🏢 High Tech Genesis
📍 Toronto