Lead Data Engineer (Agentic AI & Snowflake Cortex)

TL;DR

Lead Data Engineer (Agentic AI & Snowflake Cortex): Design, develop, and optimize modern data platforms while building AI-powered data solutions with an accent on Agentic AI, Multi-Agent orchestration, and Snowflake Cortex capabilities. Focus on scalable data pipelines, semantic search/RAG workflows, and integrating LLMs into enterprise data applications with governance, security, and performance tuning.

Location: Montreal, Quebec, Canada; New York – 3 days Onsite

Salary: $80–$85 an hour

Company

hirify.global is a digital technology services provider delivering innovative digital adoption for Fortune 1000 clients.

What you will do

• 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 (AI, Analyst, Search, Functions).
• Integrate LLMs with enterprise data, including semantic search and RAG/AI-assisted analytics.
• Develop and optimize Snowflake data models, stored procedures, and performance tuning.
• Ensure data quality, reliability, observability, and security; automate deployments via CI/CD and Infrastructure as Code where applicable.

Requirements

• 5+ years of experience in Data Engineering or Data Platform Development.
• Strong experience with cloud-based data platforms and modern data architectures.
• Mandatory: Agentic AI application development and Multi-Agent Orchestration frameworks.
• Mandatory: Snowflake Cortex and Snowflake Data Cloud; strong SQL and advanced query optimization.
• Mandatory: Python; ETL/ELT pipeline development; data modeling and data warehousing.
• Mandatory: REST APIs and system integrations; Git and CI/CD practices.

Nice to have

• Experience with LangGraph, CrewAI, AutoGen, or similar multi-agent frameworks.
• Experience with LLMs and Retrieval-Augmented Generation (RAG), plus vector databases and semantic search.
• Experience with Azure, AWS, or Google Cloud Platform; Apache Airflow and dbt; Docker and Kubernetes; Kafka/streaming technologies.

Culture & Benefits

• Hybrid workplace with onsite expectation (3 days onsite in New York).
• Work on AI-enabled data products in collaboration with Data Scientists, AI Engineers, Product Managers, and business stakeholders.
• Focus on governance, security, and reliability across data platforms.
• Opportunity to work with emerging AI/GenAI and Snowflake technologies and apply best practices.