Data Scientist – Data Mapping & Architecture Support

ECS Tech Inc•Work from home, Virginia
•$120,000 - $130,000•Remote

About The Position

ECS is seeking a remote Data Scientist whose work bridges data science and data architecture. The role maps data sources and relationships, builds and maintains a company-wide data dictionary, and supports the Enterprise Architect in applying policy, standards, and business logic to the overall data framework.

Requirements

  • 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, including entities, relationships, and schemas.
  • Proficiency in SQL and at least one programming language; Python is preferred.
  • Experience working with large, multi-source datasets, such as databases, APIs, and flat files.
  • Ability to interpret business logic and policy and translate them into clear data definitions.
  • Strong attention to detail and documentation skills.

Responsibilities

  • Identify, trace, and document data flows across systems from source to destination, including transformations, dependencies, and ownership.
  • Build and maintain a comprehensive data dictionary defining each field’s meaning, format, source, and business context.
  • Work with the Enterprise Architect to incorporate data mapping and dictionary findings into technical architecture and ensure data models reflect business logic and policy requirements.
  • Analyze data for consistency, accuracy, and completeness; identify gaps or conflicts between systems and recommend standardization.
  • Partner with business stakeholders, including HR, Finance, and Operations, to validate that documented business rules match how data is defined and used.
  • Support data governance by aligning data dictionary and mapping work with company policy, compliance needs, and access control requirements.
  • Create maintainable documentation, including data lineage diagrams, dictionary entries, and mapping reports, for technical and non-technical teams.
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