Data Engineer

Job Title: Principal Data Engineer Databricks Location: Toronto| Canada (Hybrid/Onsite as required) Experience 12-18 years overall data engineering experience 8 years across enterprise Data Warehouse Data Lake platforms 5 years with Databricks Spark at scale Role Summary The Principal Databricks Data Engineer is a senior technical leader responsible for modernizing large scale finance and risk data platforms from legacy Cloudera ecosystems to cloud native Databricks lakehouse architectures. This role 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. The individual will serve as a hands on architect and technical authority| leading platform modernization while partnering closely with Finance| Risk| Analytics| and Governance stakeholders.

Cloudera Databricks ModernizationLead modernization of legacy Cloudera platforms (CDH CDP| Hive| HBase| Impala| Spark) into Databricks Lakehouse. Redesign ingestion| transformation| and consumption patterns from HDFS centric architectures to cloud object storage and Delta Lake.