Data Modeler

The Data Modeler will be responsible for designing testing and maintaining reusable enterprise data products that support business and analytical needs. This role requires the ability to work at a detailed field-by-field level while also understanding how individual data products fit into a broader enterprise data strategy.

The Data Modeler will partner closely with business stakeholders analysts Data Engineers and other technical teams to elicit requirements translate complex business concepts into scalable data solutions and make sound data design decisions. Success in this role requires a strong combination of technical expertise business analysis capabilities design judgment and communication skills.

• 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 accurately represent business requirements and concepts.
• Proactively identify and develop data solutions that answer complex business questions.
• Partner with stakeholders across multiple teams to elicit document and translate business and technical requirements into effective data solutions.
• Perform data profiling and lineage analysis to understand data quality relationships dependencies and movement across systems.
• Evaluate data performance and design considerations to ensure data products are scalable efficient and maintainable.
• Apply dimensional modeling principles when designing analytical and enterprise data products.
• Partner with Data Engineers and analysts to support the development and implementation of data products.
• Create and maintain clear documentation including data models lineage business definitions standards and design decisions.
• Apply strong design judgment when balancing technical requirements business needs performance and usability.
• Promote data literacy by clearly communicating data definitions relationships and business concepts to technical and non-technical stakeholders.
• Facilitate meetings and discussions across business analytics and technical teams to drive alignment on data solutions.
• Other duties as assigned.

• Strong SQL skills with the ability to analyze profile validate and work with complex datasets.
• Working knowledge of Python for data analysis profiling or related data activities.
• Strong understanding of dimensional modeling data warehousing data lineage data profiling and data design concepts.
• Ability to understand complex business logic and translate it into well-designed technical data solutions.
• Strong requirements-gathering and business analysis capabilities including the ability to ask effective questions and uncover underlying business needs.
• Excellent facilitation presentation documentation and communication skills.
• Ability to effectively communicate between business analytics engineering and other technical teams.
• Strong design judgment and the ability to articulate why a data product is structured or modeled in a particular way.
• Ability to develop strong working relationships with process owners data stewards product owners analysts and engineering teams.
• Strong curiosity and desire to understand business processes data relationships and how data is consumed across the organization.
• Ability to manage multiple priorities and work effectively across multiple teams and initiatives.

• Bachelors degree or equivalent combination of education and relevant professional experience.
• 35 years of experience in data modeling data analysis data engineering business analysis or a related data-focused role.
• Hands-on experience with SQL and relational data concepts.
• Experience with data modeling data profiling data lineage and requirements gathering.

• Bachelors degree in Computer Science Information Systems Business Administration Data Analytics or a related field.
• Experience working with Snowflake.
• Experience with Palantir Foundry or similar enterprise data platforms.
• Experience using Python within a data or analytics environment.
• Experience creating and supporting reusable enterprise data products.
• Experience with dimensional data modeling and modern data warehouse environments.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability genetics or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact for assistance.

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