Role Description: Seeking a highly experienced Principal Databricks Data Engineer to lead modernization of large-scale Finance and Risk data platforms from legacy Cloudera ecosystems to cloud-native Databricks Lakehouse architectures. The role requires deep hands-on expertise in enterprise data warehousing, data lakes, finance and risk data models, and semantic consumption layers, with strong experience supporting regulatory reporting, management reporting, and analytics use cases. The individual will serve as a hands-on architect and technical authority, partnering closely with Finance, Risk, Analytics, and Governance stakeholders while driving enterprise-scale platform modernization initiatives. Experience Required 8+ years across enterprise Data Warehouse and Data Lake platforms 5+ years of hands-on experience with Databricks and Spark at scale Key Responsibilities Cloudera to Databricks Modernization Lead modernization of legacy Cloudera platforms including: CDH / CDP Hive H...