Data Scientist - Data Mapping & Architecture Support

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.

Key Responsibilities

• 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.

Salary Range: $120,000 - $130,000

Data Science, Data Mapping, Data Science, Work From Home, Enterprise Architecture, Data Mapping, Data Modeling, Business Model, Data Quality, Quality Metrics, * 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
• Experience working alongside Enterprise Architects or data governance teams
• Familiarity with Databricks, Delta Lake, or similar data platforms
• Exposure to data governance frameworks (DAMA-DMBOK) or metadata management tools (Collibra, Alation, etc.)
• Background in HR, employee, or other sensitive/regulated data domains
• Experience with data visualization tools (Power BI, Tableau) to present mapping findings

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!