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 Benefits & Culture
- Comprehensive health and dental plans
- Opportunities for career 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
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