indeed
Lead Data Engineer – R01566629
Brillio LLC
Montréal, CAN
Lead
Onsite
1 weeks ago
SnowflakeSnowflake CortexAgentic AIMulti Agent OrchestrationSQLPython
Free
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SnowflakeSnowflake CortexAgentic AI
About the Role
Brillio seeks a Lead Data Engineer to design, develop, and optimize modern data platforms with AI-powered solutions. The role requires expertise in Snowflake Cortex, Agentic AI, multi-agent orchestration, and cloud data engineering.
Key Skills for This Role
SnowflakeSnowflake CortexAgentic AIMulti Agent OrchestrationSQLPython
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
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
Full Job Posting
Job Summary
- 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.
Required Experience
- 5+ years of experience in Data Engineering or Data Platform Development.
- Strong experience working with cloud based data platforms and modern data architectures.
Mandatory Skills
- 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.
Preferred Skills
- 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.
Key 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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