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# Data Scientist - Data Mapping & Architecture Support

- **Company:** Everforth Ecs
- **Location:** United States (Remote available)
- **Salary:** $120,000 - $130,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Data Analysis, Business Logic, Databases, Data Architecture, Data Dictionary, Data Governance, Data Mapping, Python (Programming Language), Metadata Repositories, SQL Databases, Data Streaming, Data Lineage
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7fa4fc0f2179d095

## About the Role

* Experience with data mapping and data lineage tools and techniques

 * Strong skills in building and maintaining a data dictionary or metadata repository

 * Solid understanding of data modeling concepts (entities, relationships, schemas)

 * Proficiency in SQL and at least one programming language (Python preferred)

 * Experience working with large, multi-source datasets (databases, APIs, flat files, etc.)

 * Ability to interpret business logic and policy and translate it into clear data definitions

 * Strong attention to detail and documentation skills

## Description

This role bridges data science and data architecture. The person will map data sources and relationships, build and maintain a company-wide data dictionary, and support the Enterprise Architect in applying policy, standards, and business logic to the overall data framework., * Data Mapping
Identify, trace, and document how data flows across systems - from source to destination - including transformations, dependencies, and ownership.

 * Data Dictionary Development
Build and maintain a comprehensive data dictionary defining every field, its meaning, format, source, and business context, so teams have one consistent reference.

 * Architecture Support
Work closely with the Enterprise Architect to translate data mapping and dictionary findings into the technical architecture, ensuring data models reflect real business logic and policy requirements.

 * Data Quality & Standards
Analyze data for consistency, accuracy, and completeness. Flag gaps or conflicts between systems and recommend standardization.

 * Business Logic Validation
Partner with business stakeholders (HR, Finance, Operations, etc.) to confirm that documented business rules match how data is actually defined and used.

 * Governance Collaboration
Support data governance efforts by aligning the data dictionary and mapping work with company policy, compliance needs, and access control requirements.

 * Documentation & Reporting
Create clear, maintainable documentation (data lineage diagrams, dictionary entries, mapping reports) that both technical and non-technical teams can use.