> Markdown version of [/jobs/ext/4321309-senior-data-modeler](https://www.wearedevelopers.com/jobs/ext/4321309-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:** InfoVision, Inc. - **Location:** Irving, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Third Normal Form, Big Data, BigQuery, Information Systems, Data Vault Modeling, Data Warehousing, Dimensional Modeling, Apache Hadoop, Apache Hive, JSON, Metadata, Microsoft SQL Server, NoSQL, Oracle (Applications), Reverse Engineering, SQL Databases, Teradata SQL, Extensible Markup Language (XML), Google Cloud, Snowflake, Semi-structured Data, Information Technology, Data Lineage, Google Bigquery, Data Management - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/5f996480-dbaf-48dc-bacc-d01ee48b8db4 ## About the Role * 6+ years of hands-on data modeling experience in enterprise data warehouse or large-scale analytics environments. * Advanced proficiency with Erwin Data Modeler or ER/Studio, including model templates, subject areas, and forward/reverse engineering. * Strong command of relational (3NF) and dimensional modeling techniques, including star/snowflake schemas and slowly changing dimensions. * Expert-level SQL across at least one enterprise warehouse platform such as Teradata, Oracle, SQL Server, BigQuery, or Snowflake. * Experience producing metadata, source-to-target mappings, and data lineage documentation within a governance framework. * Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. Preferred Qualifications * Experience modeling for cloud data warehouse migrations, especially from Teradata or SQL Server to Google BigQuery. * Telecommunications domain knowledge (subscriber, network, billing, churn, or customer experience data). * Exposure to Data Vault 2.0, medallion architecture, or modeling semi-structured data (JSON, XML). * Google Cloud Professional Data Engineer or a data management certification (e.g., CDMP). * Familiarity with NoSQL modeling and big data ecosystems such as Hadoop and Hive.