Senior Data Modeler (Lakehouse Analytics) #3565745

Join a forward-thinking organization operating at the intersection of data, analytics, and business intelligence within a highly regulated industry. The team is focused on modernizing data platforms and enabling advanced analytics through scalable, cloud-based architectures. Known for driving data-driven decision-making, the environment is collaborative, fast-paced, and deeply invested in leveraging cutting-edge technologies such as Databricks, Spark, and Lakehouse frameworks. This role contributes directly to building enterprise-grade data foundations that power critical insights across the business.

• Engagement: W2 only (no C2C/1099)
• Fully remote work environment offering strong flexibility
• Opportunity to work on modern data platforms including Lakehouse architecture and big data ecosystems
• Exposure to cross-functional teams spanning data engineering, analytics, and business stakeholders
• Opportunity to influence enterprise-level data modeling standards and best practices

• Design and develop conceptual, logical, and physical data models to support analytics and business intelligence initiatives
• Translate business requirements into scalable, high-performance data structures for advanced analytics
• Partner with data engineers to integrate and harmonize data across multiple sources
• Build and optimize database schemas using medallion architecture, including relational, star schema, and denormalized models
• Establish strong data governance practices through metadata management, lineage tracking, and data quality frameworks
• Implement master data modeling strategies to ensure a single source of truth across key business entities
• Optimize data models for performance, scalability, and efficient query execution
• Act as a bridge between technical teams and business stakeholders, ensuring clarity in data usage and capabilities
• Continuously enhance data modeling approaches based on evolving technologies and business needs

• Minimum 3+ years of experience in data modeling within a Lakehouse or modern analytics environment
• Strong experience in the insurance domain (P&C, Life, or Healthcare)
• Proficiency with data modeling tools such as ER Studio
• Deep knowledge of Databricks Delta tables and Postgres databases
• Expertise in SQL and DDL development
• Hands-on experience with big data platforms (Databricks, Spark, AWS, Azure)
• Strong understanding of data governance, metadata management, and data quality frameworks
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field (Master’s preferred)
• Strong analytical thinking, problem-solving skills, and communication abilities

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