Principal Databricks Data Engineer modernizing finance and risk data platforms from Cloudera to Databricks lakehouse architectures.
Responsibilities
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.
Requirements
12-18 years overall Data engineering experience, 8 years across enterprise Data Warehouse Data Lake platforms, 5 years with Databricks Spark at scale.
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