Senior Enterprise Data Modeler (Hybrid Work)

Trane Technologies; La Crosse (WI); On-site; USD 147,000 - 205,000; Full time

Benefits offered by this job

Health insurance

401K match up to 6% plus 2% core

Paid time off

Job summary

Trane Technologies seeks an experienced Senior Data Modeler to own and advance enterprise data models across core business domains. You will lead design sessions, define standards, and ensure alignment with IT strategy and governance.

You will collaborate with finance, supply chain, operations, and sales to translate requirements into scalable data models and support ERP/CRM data integration while mentoring junior data professionals.

Qualifications

• Bachelor’s or master’s degree in CS/IT or related field.
• Formal training in data modeling, data architecture, or data management preferred.
• 7+ years of data modeling experience with enterprise scope.
• Experience with ERP, analytics, and cloud ecosystems (Oracle, SAP, GCP, Snowflake, Azure, AWS).

Responsibilities

• Develop and maintain enterprise data models across core business domains.
• Lead data modeling design sessions aligning models with business goals and IT strategy.
• Define modeling standards and reusable patterns across teams and projects.
• Document data lineage and governance to ensure data quality and consistency.
• Collaborate with domain teams to translate requirements into scalable models.
• Support data integration patterns across ERP, CRM, data lake, and warehouse.

Skills

Data modeling

Data architecture

Mentoring

Stakeholder collaboration

Education

Bachelor’s or Master’s in Computer Science/Information Technology

TOGAF/CDMP certification preferred

Tools

ER/Studio

ERwin

PowerDesigner

Collibra

Alation

Oracle

SAP

GCP

Snowflake

Azure

AWS

Job description

Trane Technologies seeks an experienced Senior Data Modeler to own and advance enterprise data models across core business domains. You will lead design sessions, define standards, and ensure alignment with IT strategy and governance.

You will collaborate with finance, supply chain, operations, and sales to translate requirements into scalable data models and support ERP/CRM data integration while mentoring junior data professionals.