Data Governance & Metadata Lineage Scientist

Booz Allen Hamilton

Florida

On-site

USD 99,000 - 225,000

Full time

14 days+
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Job summary

Booz Allen Hamilton seeks a Data Governance and Metadata Scientist to lead the governance of metadata across structured and unstructured data in cloud environments. You will collaborate with clients to understand questions, guide teammates, and develop algorithms to turn data into actionable insights.

Ideal candidates have hands-on experience with data catalogs, lineage tracking, and compliance with DoD metadata policies, and will apply governance frameworks to geospatial datasets in diverse

Qualifications

  • Experience implementing metadata governance frameworks for structured and unstructured data in cloud environments.
  • Experience tracking data lineage and metadata synchronization across a Data Catalog and enterprise repositories.
  • Experience with OpenLineage, Apache Atlas, or similar metadata tools.
  • Experience enforcing DoD metadata policies and NSG standards for geospatial data.

Responsibilities

  • Lead development of metadata governance algorithms and systems.
  • Guide teammates and project stakeholders to turn data into actionable insights.
  • Work with clients to understand questions and needs and translate them into data-driven solutions.

Skills

Metadata governance
Data lineage
OpenLineage/Atlas
DoD metadata policies
GIS/Data Management

Education

Bachelor’s degree or 5+ years experience in lieu of degree

Tools

OpenLineage
Apache Atlas
ESRI Kubernetes
Data Catalog

Job description

Booz Allen Hamilton seeks a Data Governance and Metadata Scientist to lead the governance of metadata across structured and unstructured data in cloud environments. You will collaborate with clients to understand questions, guide teammates, and develop algorithms to turn data into actionable insights.

Ideal candidates have hands-on experience with data catalogs, lineage tracking, and compliance with DoD metadata policies, and will apply governance frameworks to geospatial datasets in diverse

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