Senior Data Modeler – IBM IDA, Azure & Databricks

Be Part Of A High-Performing Team

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.

What's In Store For You

• Engagement: W2 only (no C2C/1099)
  
• Hybrid work environment based in North Carolina.
  
• Opportunity to contribute to enterprise-scale data architecture and modeling initiatives.
  
• Work across modern cloud data environments including Azure and Databricks.
  
• Collaborate closely with data engineers, architects, business stakeholders, and analytics teams.
  

How You Will Make An Impact

• 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.
  

Do You Bring Proven Success in Enterprise Data Modeling?

• 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.