Data Modeler

Overview

Data Modeler to join our data architecture and engineering team. In this role you will design, develop, and maintain conceptual, logical, and physical data models defining how our data is structured, stored, and accessed. You will bridge business requirements and technical implementation to ensure data assets are consistent, accurate, and optimized for operational efficiency and advanced analytics. This hybrid on-site position is located at our headquarters in Oak Creek, WI.

You will report directly to the Manager, Business Intelligence & Data Science.

• Data Model Design & Development:
  • Create and maintain conceptual, logical, and physical data models for various data initiatives, including transactional systems, data warehouses, data lakes, and data marts.
  • Translate complex business requirements and rules into clear, concise, and accurate data structures.
  • Determine appropriate data modeling techniques (e.g., relational, dimensional, No
    
    SQL) based on business needs and technical constraints.
• Collaboration & Communication:
  • Work closely with business stakeholders, data architects, data engineers, ETL developers, and data analysts to gather requirements, validate designs, and ensure alignment across data initiatives.
  • Facilitate discussions and workshops to define data entities, attributes, relationships, and business rules.
• Data Governance & Standards:
  • Define and enforce data modeling standards, naming conventions, and best practices to ensure consistency and maintainability across the enterprise.
  • Contribute to the development and management of data dictionaries, glossaries, and metadata repositories.
• Optimization & Performance:
  • Collaborate with database administrators and data engineers to optimize data models for performance, scalability, and cost-efficiency.
  • Advise on indexing strategies, partitioning, and other physical design considerations.
• Data Quality & Integrity:
  • Ensure data models support data quality initiatives by incorporating appropriate constraints, validation rules, and integrity checks.
  • Understand and document data lineage to track data flow from source to consumption.
• Evaluation & Improvement:
  • Review existing data models and databases for variances, discrepancies, and opportunities for optimization.
  • Stay current with industry trends and emerging data modeling tools and methodologies.

• Minimum of a Bachelor’s Degree in Computer Science, Information Systems, Data Science, or another related quantitative field from an accredited institution.
• Minimum three years of professional experience as a Data Modeler, Data Architect, or a similar role with a strong focus on data modeling.
• Expertise in designing and implementing conceptual, logical, and physical data models.
• Strong proficiency in SQL for data definition, manipulation, and querying.
• Experience with industry-standard data modeling tools (e.g., ERwin Data Modeler, SAP Power Designer, ER/Studio, Lucidchart).
• Solid understanding of data warehousing concepts and experience with dimensional modeling (Star Schema, Snowflake Schema).
• Familiarity with various database technologies (relational databases like Postgre
  
  SQL, MySQL, SQL Server; No
  
  SQL databases; cloud data warehouses like Big Query).
• Experience with data modeling in cloud environments (e.g., Google Cloud Platform, AWS, Azure).

• Master’s degree in a relevant field.
• Knowledge of data governance frameworks and metadata management platforms.
• Experience working with ERP systems (SAP, MS Dynamics, Oracle, etc.). IFS ERP systems experience is preferred.
• Familiarity with ETL/ELT processes and how data models support data pipelines.
• Experience in an Agile/Scrum development environment.
• Certifications in data modeling or related data management field.

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment, including protected veterans and individuals with disabilities.