indeed
Lead AI Data Engineer – Agentic Data Lineage
Prozus
Montréal, CAN
Contract
Lead
Hybrid
1 weeks ago
Snowflake CortexPythonSQLETL/ELTAgentic AIMulti Agent orchestration
Free
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Snowflake CortexPythonSQL
About the Role
Prozus seeks a Lead AI Data Engineer to design and build AI-powered data platforms using Agentic AI, Multi-Agent architectures, and Snowflake Cortex. You will develop scalable data pipelines, integrate LLMs, and ensure governance.
Key Skills for This Role
Snowflake CortexPythonSQLETL/ELTAgentic AIMulti Agent orchestration
Responsibilities
- Design, develop, and maintain scalable data pipelines and data platforms.
- Build AI powered solutions using Agentic AI and Multi Agent frameworks.
- Leverage Snowflake Cortex capabilities including Cortex AI, Cortex Analyst, Cortex Search, and Cortex Functions.
- Integrate LLMs with enterprise data while ensuring governance, compliance, and security.
- Design and implement RAG, semantic search, and AI assisted analytics solutions.
- Optimize Snowflake data models, warehouses, queries, and stored procedures.
- Ensure data quality, observability, reliability, and platform performance.
- Automate deployments using CI/CD and Infrastructure as Code.
- Stay up to date with emerging AI, GenAI, and Snowflake technologies.
Requirements
- 5+ years of experience in Data Engineering or Data Platform Development
- Strong expertise in cloud based data platforms and modern data architectures
- Hands on experience with Agentic AI application development
- Hands on experience with Multi Agent orchestration frameworks
- Hands on experience with Snowflake Cortex and Snowflake Data Cloud
- Hands on experience with SQL and query performance optimization
- Hands on experience with Python
- Hands on experience with ETL/ELT development
- Hands on experience with data modeling and data warehousing
- Hands on experience with REST APIs and integrations
- Hands on experience with Git and CI/CD practices
Full Job Posting
About the Role
- One of our clients seeking a highly skilled Lead AI Data Engineer to design and build next generation data platforms powered by AI.
- This role combines modern data engineering with Agentic AI, enabling intelligent data solutions through Multi Agent architectures, Snowflake Cortex, and cloud native technologies.
- You will work closely with AI Engineers, Data Scientists, Product Managers, and business stakeholders to deliver scalable, secure, and intelligent data products.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data platforms.
- Build AI powered solutions using Agentic AI and Multi Agent frameworks.
- Leverage Snowflake Cortex capabilities, including Cortex AI, Cortex Analyst, Cortex Search, and Cortex Functions.
- Integrate LLMs with enterprise data while ensuring governance, compliance, and security.
- Design and implement RAG, semantic search, and AI assisted analytics solutions.
- Optimize Snowflake data models, warehouses, queries, and stored procedures.
- Ensure data quality, observability, reliability, and platform performance.
- Automate deployments using CI/CD and Infrastructure as Code.
- Stay up to date with emerging AI, GenAI, and Snowflake technologies.
Required Qualifications
- 5+ years of experience in Data Engineering or Data Platform Development.
- Strong expertise in cloud based data platforms and modern data architectures.
- Hands on experience with: Agentic AI application development, Multi Agent orchestration frameworks, Snowflake Cortex, Snowflake Data Cloud, SQL and query performance optimization, Python, ETL/ELT development, Data modeling and data warehousing, REST APIs and integrations, Git and CI/CD practices.
Preferred Qualifications
- Experience with LangGraph, CrewAI, AutoGen, or similar frameworks.
- Experience with LLMs and RAG solutions.
- Knowledge of vector databases and semantic search.
- Experience with Azure, AWS, or Google Cloud Platform.
- Hands on experience with Airflow, dbt, Docker, Kubernetes, and Kafka.
Pay
- CAD 40.00 CAD 50.00 per hour
Additional Information
- Location: Montréal, QC (preferred)
- Work Location: Hybrid remote in Montréal, QC
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