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# Data Modeler / Data Architect - Snowflake & Data Warehousing

- **Company:** Computer Task Group, Inc
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Salary:** $93,600.0 - $104,000.0
- **Contract:** Temporary contract
- **Skills:** Sql Data Warehouse, BigQuery, Cloud Database, Information Systems, Data Architecture, Information Engineering, Data Structures, Data Vault Modeling, Data Warehousing, Relational Databases, Dimensional Modeling, Entity Relationship Models, Snowflake, Information Technology, Star Schema, Data Management, Physical Data Models, Databricks
- **Published:** September 5, 2026
- **Apply:** https://www.dice.com/job-detail/ca49f96f-e9bd-4ada-ac02-2a927ff16579

## About the Role

* Conceptual, logical, and physical data modeling.
 * Dimensional modeling and Data Vault methodologies.
 * Exposure to Snowflake or other cloud data warehousing platforms such as Databricks, Redshift, or BigQuery.
 * Basic relational database concepts, including normalization, entity-relationship diagrams, keys, and constraints.
 * Working knowledge of SQL.
 * Familiarity with data warehousing concepts, including star and snowflake schemas.
 * Strong analytical and problem-solving skills with attention to detail.
 * Strong communication and collaboration skills with both technical and non-technical stakeholders.
 * Healthcare/Medicaid experience is a plus.

Experience:

 * 0-2 years of experience in data architecture, data engineering, data modeling, or a related field.
 * Experience developing conceptual, logical, and physical data models.
 * Experience clearly defining business entities and related attributes using data management tools.

Education:

 * Bachelor's degree in Computer Science, Information Systems, Data Science, Mathematics, or a related field, or equivalent practical experience.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

## Description

* Develop and maintain conceptual, logical, and physical data models.
 * Create dimensional and Data Vault models to support data warehousing and analytics.
 * Define and document business entities, attributes, relationships, and data structures using data management tools.
 * Collaborate with technical and business stakeholders to understand data requirements and translate them into effective data models.
 * Support data architecture, data engineering, and cloud data warehouse initiatives.
 * Apply data modeling and relational database principles to ensure data quality, consistency, and usability.


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