Lead Data Engineer - R01566629
Brillio•Montreal, QC
•$80 - $85•Hybrid
About The Position
We are seeking an experienced Data Engineer to design, develop, and optimize modern data platforms while building AI-powered data solutions. The ideal candidate will have strong expertise in cloud data engineering, Snowflake, and AI-driven architectures, with hands-on experience in Agentic AI, Multi-Agent Orchestration, and Snowflake Cortex. This role requires developing scalable data pipelines, integrating AI agents into enterprise workflows, and enabling intelligent data applications.
Requirements
- 5+ years of experience in Data Engineering or Data Platform Development.
- Strong experience working with cloud-based data platforms and modern data architectures.
- Agentic AI application development.
- Multi-Agent Orchestration frameworks.
- Snowflake Cortex (Cortex AI, Cortex Analyst, Cortex Search, Cortex Functions).
- Snowflake Data Cloud.
- SQL and advanced query optimization.
- Python programming.
- ETL/ELT pipeline development.
- Data modeling and data warehousing.
- REST APIs and system integrations.
- Git and CI/CD practices.
Nice To Haves
- Experience with LangGraph, CrewAI, AutoGen, or similar multi-agent frameworks.
- Experience with LLMs and Retrieval-Augmented Generation (RAG).
- Knowledge of vector databases and semantic search.
- Experience with Azure, AWS, or Google Cloud Platform.
- Apache Airflow, dbt, or similar orchestration tools.
- Docker and Kubernetes.
- Streaming technologies such as Kafka.
Responsibilities
- Design, build, and maintain scalable data pipelines and data platforms.
- Develop AI-powered data solutions using Agentic AI and Multi-Agent architectures.
- Build and optimize intelligent workflows using Snowflake Cortex capabilities.
- Integrate LLMs with enterprise data while ensuring governance and security.
- Design semantic search, RAG, and AI-assisted analytics solutions.
- Develop and optimize Snowflake data models, stored procedures, and performance tuning.
- Collaborate with Data Scientists, AI Engineers, Product Managers, and business stakeholders to deliver AI-enabled data products.
- Ensure data quality, reliability, observability, and security across data platforms.
- Automate deployment using CI/CD pipelines and Infrastructure as Code where applicable.
- Stay current with emerging AI, GenAI, and Snowflake technologies and recommend best practices.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
