Enterprise Data Modeling Lead

Collins Aerospace; Richardson (TX); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Medical Insurance

Vacation

401(k)

Job summary

Collins Aerospace is seeking a senior data architect to lead an enterprise data model across conceptual, logical, and physical layers. You will define modeling standards, enforce metadata conventions, and resolve semantic conflicts to improve interoperability across ERP, PLM, MES, MRO, IoT, analytics, and AI platforms.

Hybrid role with responsibilities including mentoring data modelers, communicating strategy to executives, and ensuring compliance with regulatory and security requirements.

Qualifications

• 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 required for access to information under this program/contract.
• Experience with Snowflake and data modeling/architecture.
• Expertise in conceptual, logical, and physical modeling and canonical data design.

Responsibilities

• 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.
• Improve interoperability across ERP, PLM, MES, MRO, IoT, analytics, and AI platforms.

Skills

Snowflake

Data modeling

Ontology / knowledge graph

SQL

SPARQL

Cypher

Relational/NoSQL databases

Data architecture

Canonical data design

Communication

Education

University Degree

Advanced Degree

Tools

ER/Studio

PowerDesigner

Hackolade

Job description

Collins Aerospace is seeking a senior data architect to lead an enterprise data model across conceptual, logical, and physical layers. You will define modeling standards, enforce metadata conventions, and resolve semantic conflicts to improve interoperability across ERP, PLM, MES, MRO, IoT, analytics, and AI platforms.

Hybrid role with responsibilities including mentoring data modelers, communicating strategy to executives, and ensuring compliance with regulatory and security requirements.