Data Modeler

• Reverse engineering our physical data models into documented logical data models to establish a current state data architecture diagram.
• Future state conceptual and logical data modeling for Sales Enablement and Enterprise Lending Framework.
• Documenting Data Modeling best practices and conducting data modeling learning and development with data management, BI, Database Ops, App Leads and Database Developers.
• Reverse engineering our physical data models into documented logical data models and using our data lineage solution to identify impacted systems to model including. Relationship,Customer Information Vault,Other systems required for Sales Enablement and Enterprise Lending Framework initiatives.
• Future state conceptual and logical data modeling to include business processes included in:
  
  Future CRM (such as Salesforce),Future Enterprise Lending Solution (such as NCino)
• Documenting best practices and procedures on Data Modeling into our Data Playbook.
• Creating and/or reusing external training content for novice, intermediate and advanced data modeling practices.

Required

Education:

The duties listed above are complex in nature and require a minimum of a bachelor’s degree in computer science, computer information systems, information technology, or a closely realted field, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Work location is McKinney, TX with required travel to client locations throughout the USA.