Principal Databricks Data Engineer

Principal Databricks Data Engineer
Toronto, ON – Hybrid (4 Days WFO)
6-12 months
Essential Skills: Job Title: Principal Data Engineer Databricks (Finance Risk Cloudera Modernization)
Email: shivam.agnihotri@varite.com
Experience12-18 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 semanticconsumption 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.Key ResponsibilitiesCloudera Databricks ModernizationLead modernization of legacy Cloudera platforms (CDH CDP| Hive