Data Governance & Metadata Scientists

Prescient Edge is seeking a Data Governance & Metadata Scientist to support a Federal Government client.

Please note that the availability of this position is contingent upon contract award.

Benefits:

At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
• A substantial retirement plan with no vesting schedule.
• Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
• A positive work environment where employees are respected, supported, and engaged.

Description:

• Data Governance & Metadata Scientists (Specialized in data lineage and metadata governance, ensuring metadata consistency and synchronization between Databricks, Kubernetes, and research dashboards; tracking data lineage and provenance).
• Shall support ontology-driven decision support systems, mapping structured and unstructured datasets to enhance data interoperability.
• Shall develop automated metadata validation and quality control mechanisms, ensuring research datasets maintain compliance with DoD governance frameworks.
• Shall utilize Azure-native indexing services, where feasible, such as Cognitive Search, to implement federated metadata and research product discovery pipelines.
• Shall submit the Data Governance & Metadata Validation Report, detailing data lineage improvements, governance effectiveness, and compliance findings.
• Data Governance & Metadata Scientists (Responsible for API-based ingestion, data acquisition from storage containers, and ETL processing in a Data Catalog, ensuring metadata accuracy and lineage tracking.)
• Shall establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with Data Catalog.
• Shall develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform.
• Shall implement and manage data governance workflows, ensuring integration with Open Lineage, Unity Catalog, and GIS metadata standards.
• Proposed personnel possess the knowledge and capability to develop, implement, and maintain data governance frameworks, ensuring metadata consistency, lineage tracking, and interoperability between Data Lake, ESRI Kubernetes environments, and external data sources.
• Personnel must be proficient in metadata management, data lineage tracking (Unity Catalog/Open Lineage), schema alignment, and governance best practices.
• Expertise in geospatial data standards, data cataloging, and compliance with DoD metadata policies is required.