Data Scientist – Data Mapping & Architecture Support

ECS; Richmond (VA); Remote; USD 120,000 - 130,000; Full time

Job summary

ECS is seeking a Data Scientist to work remotely, bridging data science and data architecture. You 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 include data mapping, data dictionary development, architecture support, data quality assessment, and governance collaboration.

Qualifications

• 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.

Responsibilities

• Data Mapping: Identify, trace, and document data flows across systems including transformations and ownership.
• Data Dictionary Development: Build and maintain a comprehensive data dictionary with field meanings, sources, and context.
• Architecture Support: Translate mapping and dictionary findings into technical architecture with Enterprise Architect.
• Data Quality & Standards: Analyze data for consistency and accuracy; flag gaps and recommend standardization.
• Business Logic Validation: Confirm stakeholder-defined rules match actual data usage.
• Governance Collaboration: Align dictionary and mapping work with policy and access control needs.
• Documentation & Reporting: Create clear documentation and mapping reports for technical and non-technical teams.

Skills

Data mapping

Data lineage

Data dictionary

SQL

Python

Data modeling

Large multi-source datasets

Business logic

Tools

Databricks

Delta Lake

Collibra

Alation

Power BI

Tableau

Job description

Job Description

ECS is seeking a Data Scientist to work remotely.

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

Required Skills

• 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

Desired 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

We Value

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

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

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.

Meet the challenge. Make a difference with Everforth ECS!