Job Description
Job Title: Lead Data Engineer / Snowflake Engineer (AWS, Agentic AI)
Job Location: Montreal, Quebec Canada 3-4 days hybrid
Role Overview
We are hiring a Lead Data Engineer / Snowflake Engineer with deep expertise in Snowflake on AWS and hands-on exposure to Agentic AI / Generative AI driven data platforms. This role will lead the design, modernization, and scaling of cloud native data architectures that power analytics and AI initiatives.
Key Responsibilities
Architect, design, and optimize Snowflake data platforms on AWS for high performance and cost efficiency
Lead end to end ELT/ETL pipelines using Snowflake, AWS services, and modern data engineering tools
Implement advanced Snowflake features (Performance Optimization, Warehousing strategy, Data Sharing, Streams & Tasks, Time Travel, Zero Copy Cloning)
Design data foundations that support Agentic AI and GenAI workloads, including AI ready datasets, vectorized data, and metadata driven pipelines
Collaborate with AI/ML teams to enable autonomous agents, LLM driven analytics, and intelligent data orchestration
Provide technical leadership, code reviews, and mentoring to data engineering teams
Partner with business and product stakeholders to translate analytics and AI requirements into scalable data solutions
Required Skills & Experience
8 10 years of experience in Big Data Engineering / Analytics
Expert level Snowflake experience, including large scale production deployments
Strong hands-on experience with AWS (S3, EC2, Lambda, Glue, Redshift/Athena, IAM, CloudWatch, Step Functions)
Proven experience building cloud native data architectures on AWS
Solid programming skills in Python and SQL
Experience with data modeling for analytics and AI use cases
Hands-on or applied exposure to Agentic AI, Generative AI, or AI driven data platforms
Experience leading or mentoring engineering teams in enterprise environments
Job Tags
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