Senior Data Modeler – IBM IDA, Azure & Databricks

Axiom Path • Charlotte, NC

3d • Hybrid

About The Position

Join the technology organization of a global financial institution supporting enterprise data capabilities across its Americas operations. This team is focused on building reliable, scalable data foundations that support analytics, reporting, application development, and broader data-management initiatives. The environment brings together data architecture, engineering, and business stakeholders to ensure enterprise information is modeled consistently and can be effectively used across downstream systems.

Requirements

• 10+ years of relevant experience at the senior level, with substantial hands-on data modeling and database design experience.
• Strong experience developing conceptual, logical, and physical data models.
• Hands-on expertise with IBM IDA / InfoSphere Data Architect.
• Strong understanding of data warehouse architecture and database design principles.
• Experience working with Azure data environments.
• Experience supporting data solutions involving Databricks.
• Ability to translate complex business requirements into practical enterprise data models.
• Strong understanding of data quality, consistency, integration, scalability, and performance considerations.
• Experience performing impact analysis and evaluating downstream effects of data-model changes.
• Strong documentation and stakeholder communication skills, with the ability to collaborate across architecture, engineering, analytics, and business teams.

Responsibilities

• Design and optimize conceptual, logical, and physical data models supporting enterprise data warehouse needs.
• Use IBM InfoSphere Data Architect (IDA) extensively to develop and maintain logical and physical models.
• Translate business and analytical requirements into scalable database and data-model designs.
• Partner with data engineering teams implementing models within Azure and Databricks environments.
• Ensure models align with enterprise data standards, architecture principles, quality requirements, and broader data strategy.
• Conduct impact analysis for model changes and identify downstream dependencies before implementation.
• Develop and maintain data-model documentation, data-flow diagrams, and database design specifications.
• Improve model performance, accessibility, consistency, and scalability across enterprise data platforms.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed