> Markdown version of [/jobs/ext/4302420-telecommute-data-modeler](https://www.wearedevelopers.com/jobs/ext/4302420-telecommute-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). --- # TELECOMMUTE Data Modeler - **Company:** SoftPath Technologies LLC - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - **Contract:** Permanent contract - **Skills:** Third Normal Form, Data Architecture, Data Warehousing, JD Edwards EnterpriseOne, Oracle (Applications), SAP (Applications), Snowflake, Star Schema - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/c36aae8c-9959-4574-bb1d-ec088bdf9296 ## About the Role * Strong experience in Finance data modeling, especially General Ledger and Trial Balance. * Experience modeling data from SAP, Oracle, and JD Edwards. * Proficiency with data modeling tools and techniques. * Strong understanding of 3NF, Star Schema, and Snowflake Schema. * Experience developing Silver and Gold layer data models. * Ability to define and implement data modeling best practices. * Strong communication skills and experience leading client working sessions. * Familiarity with Snowflake is preferred. ## Description We are looking for an experienced Data Modeler to design and develop logical and physical data models for the Silver and Gold layers of a Lakehouse architecture using Snowflake. The ideal candidate will have strong Finance domain expertise, particularly in General Ledger and Trial Balance data modeling., * Develop logical and physical data models for Silver and Gold layers of a medallion data warehouse architecture. * Assess existing data models for efficiency and fitness for use. * Lead client workshops to understand current-state challenges and define future-state Finance data models. * Establish data modeling best practices for each layer of the medallion architecture. * Provide thought leadership and recommendations for Finance data modeling. * Work with functional teams to ensure models are scalable and extensible.