> Markdown version of [/jobs/ext/1439739-senior-data-modeler](https://www.wearedevelopers.com/jobs/ext/1439739-senior-data-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Modeler - **Company:** Trane Technologies - **Location:** La Crosse, WI, United States - **Experience:** Expert - **Salary:** $146,522.0 - $204,610.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Computing Platforms, Microsoft Azure, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Structures, Data Vault Modeling, Software Design Patterns, Dimensional Modeling, Document-Oriented Databases, Metadata, Meta-Data Management, Metadata Repositories, Oracle (Applications), Performance Tuning, PowerDesigner, SAP (Applications), Google Cloud, Cloud Platform System, Snowflake, Togaf, Microsoft Fabric, Data Lakes, Information Technology, Data Lineage, Collibra, Data Management, Physical Data Models, Software Version Control - **Published:** July 25, 2026 - **Apply:** https://www.juju.com/job/00000000gj8ud4 ## About the Role + 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. Experience + 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. ## Description + 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. Data Governance & Standards + 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. Domain Collaboration & Business Alignment + 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. Data Integration & System Design + 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. Tool Utilization & Modeling Platform Expertise + Use leading data modeling tools to manage data models and metadata. + Develop and maintain a central data model repository and version control process. Performance Optimization + 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. Documentation & Communication + Document and communicate data models, data lineage, and relationships with clarity. + Serve as a key communicator of data architecture strategy and modeling outcomes. Coaching & Mentorship + 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. Continuous Improvement & Research + Stay abreast of industry trends, modeling techniques, and emerging technologies. + Continuously improve modeling practices and tools based on lessons learned and stakeholder feedback. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)