About this Lead Data Engineer - R01566629 role at Brillio
Brillio · Hybrid · Montreal, Quebec, Canada
About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
Lead Data Engineer
Primary Skills
Specialization
Job requirements
Location: New York – 3 days Onsite
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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