Define required tags, allowed values, and tagging standards (dataset/table/column), including inheritance rules.
Map database objects to logical names and plain-language definitions aligned to mission and functional use.
Translate governance requirements into implementable tagging rules and measurable acceptance criteria.
Define policy-enabling tags that support ABAC/ICAM enforcement use cases (e.g., classification, CUI/PII, dissemination/release constraints).
Specify minimum provenance/lineage fields needed to explain source, movement, and transformations for auditability.
Set metadata quality gates for completeness and correctness; manage and document exceptions/deviations with a clear workflow.
Provide rules, templates, and patterns that enable automation (pattern-based tagging, rulesets, validation checks).
Validate export structures for catalog ingestion readiness (required fields, traceability) and support JSON/XML/CSV outputs.
Brief stakeholders, support PoC demonstrations, and capture feedback for scaling beyond the PoC dataset.

5+ years in data architecture, data governance, or metadata management.
Strong schema analysis and SQL skills.
Software Development Lifecycle experience.
Open-source tools such as PostgreSQL, Open Policy Agent is preferred.
Hands-on experience with Python and basic software development (scripting, automation, version control).
Experience building data dictionaries/glossaries and tagging standards.
Ability to translate governance requirements into practical rules and validation checks.
Strong written and verbal communication skills for technical and non-technical audiences.
Experience with data catalog and metadata tools (e.g., Apache Atlas or equivalent).
Familiarity with DoD data governance concepts (classification markings, CUI handling, stewardship and audit expectations).
Experience defining lineage/provenance approaches and metadata export formats (JSON/XML/CSV).

Data Architect, Metadata Specialist

Key skills