Data Lake Modeler Azure

Job Summary

A company is looking for a Data Lake / Lakehouse Data Modeler Azure (Banking).

Key Responsibilities

• Design logical and physical models across raw, curated, and consumption layers optimized for lakehouse patterns
• Define canonical models and source-to-target mappings for transactions, accounts, customers, loans, payments, and exposures
• Work with data engineers and platform teams to implement models in Databricks and Synapse with CI/CD and tests

Required Qualifications

• 10+ years of experience in data modeling or data engineering, preferably in banking
• Proven experience modeling lakehouse or data lake solutions for banking or financial services
• Hands-on experience with ADLS Gen2, Azure Databricks (Delta Lake), and Azure Synapse Analytics
• 5+ years of experience with modeling tools like Erwin/Embarcadero or ER Studio
• Azure or Databricks certifications are valued