Senior Data Engineer

Job Title: Senior Data Engineer

Location: Toronto, ON

Type: Full-time

Role Summary

Design and build scalable, high-performance data pipelines and warehouse solutions to support AI-powered analytics and product insights. Lead data architecture and mentor engineers while integrating diverse data sources into enterprise systems.

Key Responsibilities

• Develop and maintain data pipelines using Airflow, DBT, and Python
• Architect and optimize Snowflake data warehouse and lakehouse
• Integrate structured and unstructured data (web data, APIs) for AI/LLM applications
• Implement Model Context Protocol (MCP) for LLM data ingestion
• Collaborate with ML engineers and product teams on scalable data solutions
• Define and enforce data quality SLAs
• Mentor junior engineers and promote best practices
• Drive architectural decisions focusing on cost, performance, and reliability

Required Skills & Experience

• Expert in SQL, Python, and distributed data processing
• Strong experience with DBT and Snowflake optimization
• Knowledge of data lakes, event-driven systems (Kafka), and data mesh
• Familiarity with cloud platforms (GCP/AWS) and Terraform
• Experience with MCP or similar LLM data architectures
• 8+ years in data engineering with leadership experience
• Excellent communication and strategic thinking skills

Preferred Skills

• Familiarity with LLMOps, LangChain, RAG pipelines
• Experience with embedding models and NER pipelines
• Knowledge of data cataloging and lineage tools

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field