Data Engineering Manager (TS/SCI)

IBM - Washington, DC

Full-time

Washington, DC

Computer and Electronic Product Manufacturing

About the position

The position involves defining and executing processes for documenting and prioritizing data mapping and transformation requirements specifically for the Department of Defense (DoD) and Intelligence Community (IC) enterprise. The role focuses on creating detailed data mapping and transformation requirements packages to facilitate the implementation of these requirements within the Master Data Management (MDM) system, ensuring interoperability with legacy systems and supporting large-scale data transformation initiatives.

Responsibilities

• Define and implement a process to backlog and execute data mapping, tagging, and transformation needs.
• Create and document data mapping and transformation crosswalk requirements packages, detailing source and destination fields, structure, data types, and transforms.
• Coordinate with Data Engineers to test and validate data mappings and transformations.
• Support the development and implementation of a large-scale ingest/Data Transformation system to support interoperability with legacy systems.
• Convert native data into community-defined formats for consumption via legacy interfaces.
• Document SOPs related to system transformation requirements package creation and execution.

Requirements

• Ability to perform data structure mapping (crosswalks), data tagging, and data governance.
• Experience in requirements gathering, analysis, and documentation.
• Understanding of foundational ETL concepts & COTS/FOSS ETL tools.
• Experience organizing, documenting technical information to include schemas and data structures.
• Possess a DoD 8570 IAT Level II Certification (e.g. Security+) or the ability to obtain the certification within 90 days.
• Active TS/SCI clearance with the ability to obtain CI Poly.

Nice-to-haves

• Familiarity with data modelling, particularly involving the use of semantic data and ontologies/taxonomies/business data.
• Experience working with controlled vocabularies and term assignment to improve information retrieval.
• Experience in data catalog development.