Title: Senior Data Engineer Location: Toronto, ON - Hybrid (4 Days WFO) Duration: 6 Months Salary Range:C$60 INC Introduction This role is for a senior technical leader responsible for modernizing large-scale finance and risk data platforms from legacy Cloudera ecosystems to cloud-native Databricks lakehouse architectures.

The position demands deep hands-on expertise in data warehousing, data lakes, finance risk data models, and semantic consumption layers, with strong experience supporting regulatory, management reporting, and analytics use cases.

Required Skills & Qualifications 12-18 years of overall data engineering experience 8 years of experience across enterprise Data Warehouse and Data Lake platforms 5 years of experience with Databricks Spark at scale Deep expertise in data warehousing, data lakes,



and finance risk data models Prior work experience in the client''s industry Preferred Skills & Qualifications Experience with PySpark and Spark SQL Familiarity with cloud object storage and Delta Lake Experience with semantic models using Databricks SQL, Delta tables, or dbt Day-to-Day Responsibilities Lead modernization of legacy Cloudera platforms into Databricks Lakehouse Redesign ingestion, transformation, and consumption patterns Ensure data parity, reconciliation, and audit integrity during platform migration Design and govern enterprise Data Warehouse and Data Lake architectures Build and manage semantic consumption layers Company Advantages & Culture Comprehensive health and dental plans Opportunities for professional development and growth Inclusive and collaborative work environment For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Senior Data Engineer (Toronto)
🏢 Artech
📍 Toronto