Data Modeler

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

Job Title: Data Modeler

Job Experience Level: Senior (10+ Years)

Work Location Expectations: Hybrid, North Carolina, USA

Term: 6 Months

Description:

Job Posting -

Summary: Creates conceptual, logical, and physical data models to support analytics and application design. Responsibilities: Work with stakeholders, document models, align with enterprise data standards. Skills: Experience with data modeling tools and database design principles.

Data Modeler Key Responsibilities:

• Design, implement, and optimize data models for the data warehouse, ensuring alignment with business requirements.
• Work extensively with IBM IDA (InfoSphere Data Architect) to create logical and physical data models.
• Ensure that the data models are scalable, performant, and aligned with the organization's data strategy.
• Collaborate with data engineers to implement and maintain data models in Azure and Databricks environments.
• Translate business requirements into conceptual, logical, and physical data models, ensuring data quality and consistency across systems.
• Participate in data architecture and design discussions to ensure data modeling best practices are followed.
• Develop and maintain documentation of data models, data flow diagrams, and database design specifications.
• Work with stakeholders to ensure the data models support analytics, reporting, and data integration needs.
• Perform impact analysis of changes to existing models and collaborate with teams to assess the effects on downstream systems.
• Continuously improve and optimize data models to enhance performance and data accessibility.