Lead Data Architect, Modeler

What you'll do

• Establish enterprise data models, including an insurance data model, for use by build and vendor partners.
• Define data domains and structures based on specific business requirements.
• Develop conceptual, logical, and physical data models for business intelligence, AI, ML, and operational use cases.
• Design interoperability across data solutions, including technology platforms, pipelines, and cloud services.
• Align with data governance teams to manage metadata, attribute definitions, and data quality frameworks.
• Monitor and optimize data models to ensure high query performance and scalability.
• Collaborate with data engineers to create pipelines that populate the established data models.
• Provide training to business users on how to effectively build queries against the data models.

What we're looking for

• Bachelor’s degree in computer science, Information Systems, Data Science, Mathematics, or related field.
• Master’s degree (preferred).
• Minimum 3 years of experience in data modeling in a Lakehouse analytics environment.
• Proficiency in a data modeling tool such as ER Studio.
• Experience with big data technologies and platforms like Databricks, Spark, AWS, or Azure.
• Expert level in DDL and SQL development.
• Experience with data governance, quality frameworks, and metadata management.
• Candidates must be authorized to work in the United States and reside in specific approved states.