Data Modeling Architect | Logical & Conceptual Data Models

Nexgen Savvy Solutions; Charlotte (AR); On-site; USD 90,000 - 120,000; Full time

Job summary

Nexgen Savvy Solutions is seeking a Data Modeling Specialist to help reverse engineer current data models and design future state architectures in Charlotte, NC. You will collaborate with data management, BI, and development teams to document standards and create training materials.

Responsibilities include building logical data models, defining best practices, and integrating systems like CRM and NCino into enterprise data strategies.

Qualifications

• Bachelor's degree in CS/IS/IT or related field.
• Experience with data modeling, data architecture, and data lineage.
• Ability to document best practices and create training content.

Responsibilities

• Reverse engineering physical data models into logical data models to outline current state architecture.
• Develop future state conceptual and logical data models for Sales Enablement and Lending.
• Document data modeling best practices; coordinate with data mgmt, BI, DB Ops, app leads, and developers.
• Identify impacted systems using data lineage to model relationships such as Customer Information Vault.
• Incorporate CRM and NCino into future processes.
• Document best practices and procedures for the Data Playbook.
• Create or reuse external training content for various skill levels.

Skills

Data Modeling

Data Architecture

Data Lineage

Documentation

Learning & Development

Stakeholder Collaboration

Education

Bachelor's degree in CS/IS/IT or related field

Tools

Data tooling

Job description

Nexgen Savvy Solutions is seeking a Data Modeling Specialist to help reverse engineer current data models and design future state architectures in Charlotte, NC. You will collaborate with data management, BI, and development teams to document standards and create training materials.

Responsibilities include building logical data models, defining best practices, and integrating systems like CRM and NCino into enterprise data strategies.