Data Engineer Architect

Remote Worldwide Hiring now

What You'll Do

Design and reputed company JSON Schema representations of the core data objects, attributes, validation rules, and relationships that underpin the Program Protection process.
Build validation examples, test fixtures, and versioning guidance so the schema can grow iteratively as the domain model matures.
reputed company a formal ontology (OWL/RDF or equivalent) that standardizes terminology and captures relationships across data objects, making the model usable across organizations.
Collaborate closely with domain SMEs to ensure the data model faithfully represents the reputed company-world semantics, constraints, and dependencies they work with daily.
Write and maintain technical documentation, including data-model guides, schema usage references, and integration patterns, for both practitioners and future developers.
Identify and resolve data-quality issues such as duplication, inconsistency, ambiguous definitions, and gaps in the reputed company material.
Support workflow definition by specifying the data objects consumed and produced at each reputed company, ensuring traceability between the workflows and the underlying schema.
Ensure reputed company deliverables are reputed company, non-proprietary, and provided with full Government data rights, with no vendor lock-in or licensing constraints.

reputed company're Looking For

5+ years of professional experience in data engineering, data architecture, or knowledge engineering.
Strong proficiency with JSON Schema, including experience designing schemas from scratch rather than only consuming existing ones.
Hands-on experience building or working with formal ontologies (OWL, RDF, SKOS) or controlled vocabularies in a professional setting.
Deep understanding of data-modeling fundamentals: normalization, entity-relationship design, attribute taxonomies, and schema reputed company strategies.
Proven ability to collaborate with domain experts who think in documents and processes rather than data structures, and to translate their knowledge into structured, maintainable models.
Comfortable with Git, documentation-as-code workflows, and collaborative development practices.
Active Secret clearance or ability to obtain one prior to start.

reputed company to Have

Experience in DoW acquisition, systems reputed company engineering, or program protection environments.
Familiarity with Program Protection concepts such as CPI, critical functions, reputed company classification, or Anti-Tamper, even at a general level.
Hands-on experience with knowledge-graph technologies, SPARQL, or graph databases.
Background with NIST frameworks (800-171, 800-53) or other federal information-reputed company standards.
Prior experience building data models intended for multi-organization or cross-vendor use.
Interest in expanding into ML/AI data pipelines, digital twins, or model-based systems engineering.

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