Data Modeler

• 10+ years of experience in data modeling, data architecture, and enterprise data engineering with a strong focus on designing scalable, high-performance data solutions.
• Design, develop, and maintain conceptual, logical, and physical data models for enterprise data products, ensuring consistency, scalability, and data quality.
• Strong experience working with complex source systems containing 20+ tables and multiple schemas, including data mapping, normalization, denormalization, and relationship modeling.
• Hands-on experience building enterprise-grade data products that support analytics, reporting, AI/ML, and business intelligence initiatives.
• Extensive experience with

Databricks , including Delta Lake, Spark, Unity Catalog, and modern lakehouse architecture.

• Strong understanding of data governance, metadata management, master data management (MDM), and data quality best practices.
• Experience working within the

manufacturing domain , with knowledge of production, supply chain, inventory, quality, or operational data models.

• Proficient in SQL and dimensional modeling (Star/Snowflake schemas), with the ability to optimize models for performance and scalability.
• Excellent communication and stakeholder management skills, with the ability to collaborate with business, engineering, and analytics teams to translate complex business requirements into robust data models.