Description

Own the end-to-end data modeling lifecycle for enterprise and analytical use cases.

This role is hybrid.

Responsibilities

• Develop conceptual, logical, and physical data models for enterprise and analytical systems.
• Design dimensional models, including star and snowflake schemas, for analytics and reporting.
• Perform relational database design and support data warehouse and lakehouse modeling patterns.
• Create and validate data mappings using data profiling and analysis to ensure model accuracy.
• Collaborate with business users, architects, and developers to clarify requirements and finalize model definitions.

Required Skills

• 8+ years of experience in data modeling and enterprise data design.
• Proficiency in data modeling (conceptual, logical, physical; dimensional and relational design).
• Strong SQL skills for querying and validating data structures.
• Experience with data mapping and data profiling for model validation.
• Experience modeling for data warehouse and lakehouse environments.
• Hands-on experience with Erwin for data modeling.
• Experience with Snowflake data platform.

Preferred Skills

• Insurance domain experience (underwriting, policy administration, claims, reinsurance).

Key Skills

Education

Any Graduate