Data Modeler (Hybrid)

What YOU will do

Lead the enterprise common data model across conceptual, logical, and physical layers.
Define and enforce modeling standards, metadata conventions, and canonical entities.
Resolve semantic and definitional conflicts across business units and systems.
Collaborate with architects, engineers, and business SMEs to align business concepts with enterprise models.
Improve interoperability across ERP, PLM, MES, MRO, IoT, analytics, and AI platforms.
Ensure compliance with enterprise, regulatory, and security requirements.
Mentor data modelers and architects to improve modeling maturity.
Communicate modeling strategy and recommendations to all levels, including executives.

Qualifications YOU Must Have

• Typically requires a University Degree and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
• Experience with Snowflake.
• Experience in data modeling, data architecture, or ontology/knowledge graph development.
• Expertise in conceptual, logical, and physical modeling and canonical data design.
• Proficiency with ER/Studio, PowerDesigner, Hackolade, or similar tools.
• Strong skills in SQL, SPARQL, Cypher, and relational/NoSQL databases.
• Experience integrating data across ERP, PLM, MES, MRO, IoT, analytics, or AI systems.
• Ability to enforce standards, resolve semantic conflicts, and influence stakeholders.

Qualifications We Prefer

• Experience in aerospace, defense, or other regulated industries.
• Familiarity with ITAR, DFARS, ISO, or similar compliance frameworks.
• Experience with data fabric, data mesh, Lakehouse architectures, and cloud platforms (Azure, AWS).
• Background supporting digital thread, digital twin, and AI/ML programs.
• Experience mentoring or leading data modeling teams.