Data Modeler - Claims Modeling exp | W2 | Remote

Data Modeler - Claims Modeling exp also must Remote. Contract role.

• As a Data Modeler specializing in Azure, you will be responsible for designing, implementing, and maintaining both relational and non‑relational data models.
• You will work closely with cross‑functional teams to ensure that data architectures meet business needs.

• Design and develop conceptual, logical, and physical data models for both relational (e.g., SQL Database) and non‑relational (e.g., Cosmos DB) databases in Azure.
• Collaborate with business analysts and stakeholders to gather and translate business requirements into data models.
• Implement best practices in data modeling, focusing on performance, scalability, and maintainability.
• Optimize data structures for efficient storage, retrieval, and analysis, ensuring data integrity and security.
• Create and maintain comprehensive documentation for data models, data flows, and metadata management.
• Support data integration efforts with ETL tools and ensure seamless data movement across various systems.
• Stay abreast of industry trends and advancements in Azure data technologies, relational and non‑relational databases.

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Proven experience in data modeling for both relational and non‑relational databases, particularly in Azure.
• Proficiency in Azure services such as Azure Fabric, Azure SQL Database, Azure Cosmos DB, and Azure Data Factory.
• Strong understanding of database design principles and data governance practices.
• Experience with data visualization tools (Power BI, Tableau, etc.) is a plus.
• Excellent analytical, problem‑solving, and critical‑thinking skills.
• Strong communication and collaboration abilities to work effectively with technical and non‑technical teams.

• Knowledge of cloud‑based data architecture patterns and data integration strategies.
• Familiarity with Data Governance tools like Collibra and ETL/ELT processes and tools.
• Experience in agile methodologies and project management.