Data Modeler - Oak Creek, WI

Milwaukee Succeeds; Oak Creek (WI); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Competitive pay

Excellent benefits

Professional growth opportunities

Job summary

Milwaukee Succeeds is looking for a Data Modeler in Oak Creek, WI. This hybrid role requires designing and maintaining data models for various initiatives while ensuring data quality and integrity.

The ideal candidate will have a Bachelor's degree and a minimum of three years of professional experience in data modeling. Strong proficiency in SQL and familiarity with cloud environments are essential. The position offers competitive pay and benefits in a collaborative environment.

Qualifications

• Minimum three years of experience as a Data Modeler or similar role.
• Expertise in designing and implementing data models.
• Familiarity with cloud environments like Google Cloud Platform or AWS.

Responsibilities

• Create and maintain various data models for data initiatives.
• Translate business requirements into data structures.
• Ensure data models support data quality initiatives.

Skills

Data modeling

SQL proficiency

Data warehousing concepts

Dimensional modeling

Education

Bachelor's Degree in Computer Science or related field

Tools

ERwin Data Modeler

SAP PowerDesigner

ER/Studio

Lucidchart

Job description

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.

What You Will Do

• 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, NoSQL) based on business needs and technical constraints.
• 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.

What We Look For

Required

• 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.
• Proven experience with industry-standard data modeling tools (e.g., ERwin Data Modeler, SAP PowerDesigner, ER/Studio, Lucidchart).
• Solid understanding of data warehousing concepts and experience with dimensional modeling (Star Schema, Snowflake Schema).
• Familiarity with various database technologies (e.g., relational databases like PostgreSQL, MySQL, SQL Server; NoSQL databases; cloud data warehouses like BigQuery).
• Experience with data modeling in cloud environments (e.g., Google Cloud Platform, AWS, Azure).

Preferred

• 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.), with IFS ERP systems experience 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.

Who We Are

We are a team that designs computers, displays and electronic systems for aircraft of the future. At Astronautics, you will be part of a creative group of professionals who work on the cutting‑edge of technology. We offer competitive pay, excellent benefits and the opportunity for professional growth in a collaborative environment.

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