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Senior Data Engineer – BigData Engineer, Snowflake, Agentic AI at Brillio | JobVerse
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Senior Data Engineer – BigData Engineer, Snowflake, Agentic AI
Brillio
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LinkedIn
Senior Data Engineer – BigData Engineer, Snowflake, Agentic AI
Canada
Full Time
2 weeks ago
$90 - $100 CAD
Visa Sponsorship
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Key skills
Airflow
Amazon Redshift
AWS
Cloud
EC2
ETL
Kafka
Python
Spark
SQL
AI
ML
Generative AI
GenAI
LLM
Agentic
ELT
Data Engineering
Analytics
Snowflake
Redshift
dbt
Lambda
S3
IAM
CloudWatch
Glue
Athena
Performance Optimization
Leadership
Mentoring
About this role
Role Overview
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
Requirements
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
Tech Stack
Airflow
Amazon Redshift
AWS
Cloud
EC2
ETL
Kafka
Python
Spark
SQL
Apply Now
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