Principal Databricks Data Engineer

🚀 We are hiring for a #Principal Databricks Data Engineer
📍 Location: #Toronto, ON
💼 #full-time, permanent role.
Note: Please apply only if you are currently in Canada.

* 12–18 years of overall data engineering experience
* 8+ years of experience in enterprise Data Warehouse and Data Lake platforms
* 5+ years of hands-on experience with Databricks and Spark at scale
* Strong experience in modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse
* Redesign ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake
* Refactor legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines
* Ensure data reconciliation, audit integrity, and consistency during migration
* Design and govern enterprise Data Warehouse and Data Lake/Lakehouse architectures
* Implement layered architecture including Raw/Landing, Curated/Conformed, and Semantic/Consumption layers
* Modernize traditional EDW platforms into scalable lakehouse architectures
* Strong experience in finance and risk data models including General Ledger, Sub-ledger, financial hierarchies, and risk exposure models (credit, liquidity, market risk)
* Enable reporting use cases including aggregation, drill-down, and drill-back capabilities
* Build and manage semantic/consumption layers for BI, reporting, and analytics
* Define business metrics, dimensions, hierarchies, and KPIs
* Experience with Databricks SQL, Delta tables, and dbt or similar frameworks
* Develop and optimize large-scale data pipelines using PySpark, Spark SQL, and Delta Lake
* Implement Medallion architecture (Bronze, Silver, Gold layers)

📩 To apply, please send your resume to pooja.sehrawat@zodiac-solutions.com.

Warm regards,
Pooja Sehrawat
Assistant Manager Recruitment
Email: pooja.sehrawat@zodiac-solutions.com