Stott and May

Lead Cloud Data Engineer for AI Systems

📍 Location
toronto, on
⏰ Job Type
Full-time
📅 Posted
June 04, 2026
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Job Description

Become the Lead Data Engineer at an AI-native organization and design cutting-edge data infrastructure for powerful enterprise solutions. Utilize your expertise to operationalize AI through innovative cloud-native platforms.
This role calls for a seasoned data engineer with a minimum of 7 years in data architecture and cloud-native solutions, particularly on AWS. You will guide the architecture of ETL/ELT processes, ensuring top-notch data quality and performance. In addition, you will attract and nurture engineering talent while aligning closely with AI and software product teams.
Key Responsibilities:
• Design and implement cloud-native platforms on AWS
• Direct ETL/ELT architecture and data warehouse strategies
• Develop infrastructure tailored for AI, including feature stores
• Focus on data quality, governance, and observability
• Provide mentorship and set technical standards across the team
Requirements:
• 7+ years in Data Engineering or Architecture

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