Senior Data Modeler

trane technologies • La Crosse, WI

4d • $146,522 - $204,610 • Hybrid

About The Position

You’ll shape the data foundation behind some of our most important initiatives, using modern tools and techniques to solve meaningful challenges. You’ll collaborate with teams who value curiosity, partnership, and innovation, all while helping drive the next wave of digital transformation.

Requirements

• Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
• Formal training and certification in data modeling, data architecture, or data management TOGAF, CDMP (DAMA) certification preferred.
• 7+ years of progressive, hands-on experience in data modeling is required for Senior or Principal levels, which includes leadership responsibilities and direct contributions to enterprise data architecture.
• Proven ability to design and govern conceptual, logical, and physical data models across multiple business domains.
• Hands-on experience supporting and designing data structures in large-scale ERP, analytics, and cloud ecosystems such as Oracle, SAP, GCP, Snowflake, Azure, or AWS.
• Deep expertise in relational and dimensional modeling, including star and snowflake schemas, data vault, and modern data platform design patterns.
• Proficiency in leading data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner) to build conceptual, logical, and physical data models and manage metadata repositories.
• Familiarity with modern enterprise settings involving data mesh, data fabric, Master Data Management (MDM), and data product concepts
• Experience with metadata management and enterprise data catalog tools (e.g., Collibra, Alation) is typically preferred.
• A demonstrated ability to influence without authority, drive collaboration across technical and non-technical domain teams (like finance, supply chain, sales), and mentor junior data professionals.

Nice To Haves

• TOGAF, CDMP (DAMA) certification preferred.
• Experience with metadata management and enterprise data catalog tools (e.g., Collibra, Alation) is typically preferred.

Responsibilities

• Develop and maintain enterprise conceptual, logical, and physical data models for core business domains.
• Lead data model design sessions, ensuring alignment with business goals and IT strategy.
• Define modeling standards and reusable patterns across teams and projects.
• Designs the data modeling transitions states of the ecosystem to help achieve the target state.
• Establish and enforce enterprise data standards, naming conventions, and data definitions.
• Drive metadata management practices to ensure consistent interpretation of data across systems.
• Collaborate with governance stewards and domain owners to ensure metric definition alignment, data quality and integrity.
• Act as the stable IT data modeling counterpart to business domain teams across key functions (e.g., finance, supply chain, operations, sales).
• Translate business requirements into scalable and governed data models.
• Work closely with business analysts and product owners to validate model semantics and usability.
• Design and document data integration patterns across systems (ERP, CRM, data lake, warehouse, etc.).
• Align data models to support MDM, data mesh, data fabric, and data product strategies.
• Support data engineers in the implementation of physical data structures.
• Use leading data modeling tools to manage data models and metadata.
• Develop and maintain a central data model repository and version control process.
• Partner with platform teams, data architects and data engineers to optimize data structures for performance, scalability, and maintainability.
• Review query and ETL performance and propose model-based improvements.
• Document and communicate data models, data lineage, and relationships with clarity.
• Serve as a key communicator of data architecture strategy and modeling outcomes.
• Mentor junior data modelers, data engineers, and analytics professionals in modeling standards and practices.
• Review and approve models created by other teams to ensure enterprise alignment.
• Stay abreast of industry trends, modeling techniques, and emerging technologies.
• Continuously improve modeling practices and tools based on lessons learned and stakeholder feedback.

Benefits

• health insurance
• holistic wellness programs that include generous incentives
• fertility coverage
• adoption/surrogacy assistance
• 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution
• Paid time off, including in support of volunteer and parental leave needs.
• Educational and training opportunities through company programs along with tuition assistance and student debt support.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior