Senior Enterprise Data Architect & Interoperability Lead

Arcfield; Chantilly (VA); On-site; USD 95,000 - 165,000; Full time

Job summary

Arcfield provides foundational systems engineering and integration solutions for national security missions and seeks an Enterprise Data Scientist to support SETA activities in the Ground Enterprise Directorate in Chantilly, VA. The role focuses on organizing and leveraging complex mission data across enterprise systems to ensure interoperability and mission readiness.

The position involves evaluating data models, metadata, ontologies, data catalogs, and data quality, while collaborating with

Qualifications

• Bachelor's with 5–7 years, or Master's with 3–5 years, or PhD with 0–2 years.
• Knowledge of data models, schemas, relational databases, and integration principles.
• Understanding metadata, data quality, data classification, and enterprise data concepts.
• Familiarity with SQL, Python, or equivalent data analysis tools.
• Ability to evaluate solutions, identify dependencies and risks, and provide recommendations.

Responsibilities

• Assess data models, schemas, structures, and relationships for consistency and interoperability.
• Evaluate metadata management, data catalogs, dictionaries, and definitions for accessibility.
• Assess ontologies, taxonomies, semantic relationships, and data standards for integration.
• Analyze data flows, interfaces, mappings, and transformation approaches and identify gaps.
• Support technical reviews, testing, and validation against requirements and objectives.

Skills

Clearance TS/SCI with Polygraph

SQL

Python

Systems Analysis

Communication & Collaboration

Education

Bachelor's degree with 5-7 years experience / Master’s with 3-5 years / PhD with 0-2 years

Tools

SQL

Python

Job description

Arcfield provides foundational systems engineering and integration solutions for national security missions and seeks an Enterprise Data Scientist to support SETA activities in the Ground Enterprise Directorate in Chantilly, VA. The role focuses on organizing and leveraging complex mission data across enterprise systems to ensure interoperability and mission readiness.

The position involves evaluating data models, metadata, ontologies, data catalogs, and data quality, while collaborating with