Senior Data Modeler - Hybrid NC for Analytics & Architecture

Stellent IT LLC; Charlotte (NC); Hybrid; USD 83,000 - 165,000; Full time

Job summary

Stellent IT LLC is seeking a Senior Data Modeler to design conceptual, logical, and physical data models supporting analytics and applications. You will work with stakeholders, document models, and align with enterprise data standards to ensure data quality and consistency.

Key responsibilities include building models for data warehouses, using IBM IDA, and collaborating with data engineers on Azure and Databricks deployments, ensuring scalable and performant data architectures for analytics and

Qualifications

• Experience with data modeling tools and database design principles.
• Ability to translate business requirements into data models.
• Strong documentation of models, data flows, and designs.

Responsibilities

• Design, implement, and optimize data models for data warehouse.
• Work with IBM IDA to create logical and physical models.
• Ensure models are scalable and performant.
• Collaborate with data engineers to implement models in Azure and Databricks.
• Translate business requirements into conceptual, logical, and physical models.
• Participate in data architecture discussions to follow best practices.
• Develop and maintain data model documentation and diagrams.
• Ensure models support analytics, reporting, and data integration.
• Analyze impact of changes on downstream systems.
• Continuously improve data models for access and performance.

Skills

Data modeling

Stakeholder management

Documentation

Data standards

Tools

IBM IDA

InfoSphere Data Architect

Azure Databricks

Job description

Stellent IT LLC is seeking a Senior Data Modeler to design conceptual, logical, and physical data models supporting analytics and applications. You will work with stakeholders, document models, and align with enterprise data standards to ensure data quality and consistency.

Key responsibilities include building models for data warehouses, using IBM IDA, and collaborating with data engineers on Azure and Databricks deployments, ensuring scalable and performant data architectures for analytics and