We are seeking a Databricks Engineer with Financial Services experience to design, build, and operate scalable, secure, and governed data and ML solutions on the Databricks platform on Microsoft Azure. In this role, you will partner closely with data engineering, CDAIO, architecture, data science, risk/compliance, and business stakeholders to deliver trusted Agentic AI solutions and production-grade AI workflows - leveraging Databricks MLflow, Lakehouse, Lakeflow, Feature Store, Unity Catalog, and Databricks Genie.

Required Qualifications

• 5+ years in data engineering and/or platform engineering with significant hands-on Databricks experience in production.


• Demonstrated experience in Financial Services (banking, capital markets,ABS) with understanding of regulated data environments.


• Strong hands-on expertise with one or more of the following:
  
  
  
  • Databricks Lakehouse architecture and Delta Lake
  
  
  • MLflow (tracki...