Overview
Skills
Job Details
Job Title: Sr. Data Modeler
Location: Princeton, NJ (Hybrid)
Duration: 12 Months+
HYBRID On-Site
Location: Princeton, NJ
W2 Role
NOTE: Insurance domain experience is a MUST
Job Description:
We are looking for a highly skilled Data Modeler with strong experience in insurance domain (preferably reinsurance), data modeling techniques, and Databricks to support our client, Munich Re, in Princeton, NJ.
Key Responsibilities:
Design and implement conceptual, logical, and physical data models to support business requirements.
Collaborate with business analysts, data engineers, and actuaries to translate insurance data needs into well-structured models.
Work extensively with Databricks, Spark, and Delta Lake for data processing and modeling tasks.
Develop and maintain data dictionaries, ER diagrams, and metadata management processes.
Ensure data quality, consistency, and governance across platforms.
Work on data warehouse, data lakehouse architecture, and migration strategies.
Optimize data structures for reporting, analytics, and machine learning pipelines.
Required Skills:
5+ years of experience in data modeling roles.
Strong understanding of insurance or reinsurance domain data (claims, policies, premiums, underwriting, etc.).
Hands-on experience with Databricks, PySpark, and SQL.
Proficiency in data warehouse/lakehouse architectures.
Good understanding of data governance, security, and compliance in regulated environments.
Familiarity with ETL tools, cloud platforms (preferably Azure or AWS), and BI tools.