Description

You will architect and implement scalable data solutions using Databricks.

Responsibilities

• Design and lead implementation of secure, scalable data solutions on the Databricks Lakehouse Platform (Delta Lake, Unity Catalog).
• Define technical standards and enforce compliance and governance for sensitive financial data.
• Develop optimized data marts within Databricks to support analytics, acting as a hands-on expert.
• Write efficient data pipelines using Python/PySpark and SQL, and manage the CI/CD process.
• Translate business requirements from teams like Risk and Finance into technical specifications.

Required Skills

• 10+ years in Data Architecture or Data Engineering.
• 4+ years of deep, hands-on Databricks expertise (Spark, Delta Lake, performance tuning).
• Expert proficiency in SQL and PySpark.
• Experience with Azure, AWS, or GCP cloud environments.
• Strong domain knowledge in Lending and Deposit data (loan origination, servicing, regulatory data).
• Experience with CI/CD practices.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree