Take the lead as a Data Solutions Engineer in our Toronto office, hybrid work model. Engage deeply with data systems to create scalable analytics and MLOps solutions for enhanced business decisions.
With 7+ years of experience, this role requires you to design and implement high-performance data systems. You will collaborate with teams across departments and guide the adoption of new technologies. Your technical mentorship and architectural vision will be crucial in developing innovative analytics platforms.
Key Responsibilities:
• Design end-to-end data pipelines and ML systems
• Set direction for data and ML engineering best practices
• Work cross-functionally with data and IT teams
• Ensure project execution meets quality and timeline expectations
• Identify risks in data governance and security
Requirements:
• 7+ years in designing data-heavy applications
• 5+ years with big data technologies like Snowflake
• Understanding of MLOps life cycles
• ...