Hybrid Charlotte Data Modeler for Enterprise Data

INSPYR Solutions; Charlotte (NC); Hybrid; USD 110,000 - 120,000; Full time

Job summary

INSPYR Solutions in Charlotte, NC is seeking a Data Modeler to design, test, and maintain reusable enterprise data products that support business and analytic needs. You will work at the field and attribute level while aligning data solutions with the broader data strategy.

You will partner with stakeholders, data engineers, and analysts to elicit requirements, translate complex business concepts into scalable data designs, and ensure data quality through profiling, lineage, and documentation.

Qualifications

• 3-5 years of experience in data modeling, data analysis, or related data-focused roles.
• Hands-on experience with SQL and relational data concepts.
• Experience with data modeling, data profiling, data lineage, and requirements gathering.
• Ability to translate complex business concepts into well-designed technical data solutions.

Responsibilities

• Design, test, and maintain reusable data products, including tables, fields, data models, glossaries, and standards.
• Work at the field and attribute level to ensure data products reflect business requirements.
• Elicit, document, and translate business and technical requirements into effective data solutions.
• Perform data profiling and lineage analysis to understand data quality and movement across systems.
• Evaluate data performance and design for scalability and maintainability.
• Create and maintain documentation including data models, lineage, and definitions.

Skills

SQL

Python

Dimensional modeling

Data warehousing

Data lineage

Data profiling

Requirements gathering

Business analysis

Education

Bachelor's degree

Related field preferred

Tools

Snowflake

Palantir Foundry

Job description

INSPYR Solutions in Charlotte, NC is seeking a Data Modeler to design, test, and maintain reusable enterprise data products that support business and analytic needs. You will work at the field and attribute level while aligning data solutions with the broader data strategy.

You will partner with stakeholders, data engineers, and analysts to elicit requirements, translate complex business concepts into scalable data designs, and ensure data quality through profiling, lineage, and documentation.