Lead Cloud Data Engineer for AI Systems (Toronto)

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 - Robust background in cloud-native data systems - Excellent SQL and data modeling proficiency - Experience leading and mentoring technical teams - Background in AI/ML infrastructure beneficial Lead the architectural vision and build scalable AI-driven data systems with a high-performing team. Apply on Kit Job: kitjob.ca/job/2pr4t5