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Jobs/Data Engineer Role/Brillio - Senior Data Engineer (BigData Engineer with Snowflake and Agentic AI)- R01564055
Brillio

Brillio - Senior Data Engineer (BigData Engineer with Snowflake and Agentic AI)- R01564055

Montreal, Quebec, Canada$187k - $208k1w ago
In OfficeSeniorNACloud ComputingData AnalyticsArtificial IntelligenceData EngineerSenior Data EngineerSenior Data ScientistSnowflakeAWSRedshiftPythonSQL

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Requirements

• Big Data Analytics, Snowflake and Agentic AI, LLM • Job Description – Lead Data Engineer / Snowflake Engineer (AWS, Agentic AI) • Location: Montreal, Canada • Work Model: 3-4 days onsite • 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 • Highly Desirable • Experience integrating LLMs, autonomous agents, or AI orchestration frameworks with data platforms • Exposure to vector databases, embeddings, or AI‑optimized data pipelines • Experience with dbt, Airflow, Kafka, Spark, or similar tools • Prior onsite experience in large, complex enterprise data ecosystems • $90 - $100 an hour • Know what it’s like to work and grow at Brillio: Click here • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

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