Senior Data Modeler

As a Senior Data Modeler & Architect at Trane Technologies, you will shape the data foundation behind our sustainability initiatives, collaborating with business and technical teams to design, govern, and optimize enterprise data models. Where is the work: Monday–Thursday onsite with colleagues; Fridays remote or onsite, depending on requirements. What you will do: Enterprise Data Modeling & Architecture 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. Design the data modeling transition 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. What you will bring: Qualifications 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. Benefits Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs with generous incentives. Family building benefits include fertility coverage and adoption/surrogacy assistance. 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution. Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave. Educational and training opportunities through company programs along with tuition assistance and student debt support. Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations. Compensation Annual Base Salary Range: $146,521.66 – $204,609.99 Compensation Type: Salary Incentive Eligible: Yes Sales Commission Eligible: No Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status. Safety Sensitive Role No We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status. #J-18808-Ljbffr