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Data Taxonomy Jobs in Virginia (NOW HIRING)

Nightwing Group

Data Automation Engineer

Arlington, VA · On-site

Responsibilities:**- Develop automated data pipelines for technology integration initiatives- Create automation workflows for malware sample collection, detonation, and taxonomy- Implement data ...

Nightwing

Data Automation Engineer

Arlington, VA · On-site

$77K - $163K/yr

Responsibilities: - Develop automated data pipelines for technology integration initiatives - Create automation workflows for malware sample collection, detonation, and taxonomy - Implement data ...

Nwis

Data Automation Engineer

Arlington, VA

$77K - $163K/yr

Responsibilities: -Develop automated data pipelines for technology integration initiatives -Create automation workflows for malware sample collection, detonation, and taxonomy -Implement data ...

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Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

What are popular job titles related to Data Taxonomy jobs in Virginia?

For Data Taxonomy jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Taxonomy jobs in Virginia look for?

The top searched job categories for Data Taxonomy jobs in Virginia are:

What cities in Virginia are hiring for Data Taxonomy jobs?

Cities in Virginia with the most Data Taxonomy job openings:

Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior SharePoint Architect

Arlington, VA • On-site

Advanced Computer Learning Company
See more jobs at Advanced Computer Learning Companyexternal

Full-time

Posted 8 days ago

Job description

ACLC is seeking a Senior SharePoint Architect to design, configure, develop, assess, and sustain enterprise SharePoint and Microsoft 365 solutions that operationalize NGB Knowledge Management requirements across NIPR/SIPR environments and geographically dispersed organizations.
This position is contingent upon contract award.
Primary Duties and Responsibilities
  • Design, build, configure, and sustain enterprise SharePoint Online/Microsoft 365 solutions aligned with KM governance, information architecture, taxonomy, metadata, content types, and lifecycle standards.
  • Translate KM requirements-knowledge-flow needs, taxonomy constraints, metadata models, governance rules, repository structures, and lifecycle standards-into practical technical solutions.
  • Configure SharePoint sites, site collections, lists, libraries, content structures, permissions, access controls, templates, and related KM-scoped components.
  • Develop Power Apps that support structured data capture, workflows, task management, knowledge-sharing processes, and decision-support activities.
  • Build and maintain Power Automate workflows for approvals, content lifecycle actions, governance tasks, notifications, issue tracking, and other approved KM processes.
  • Develop and maintain Power BI dashboards and other visualizations that present repository health, lifecycle adherence, content activity, training throughput, Communities of Practice engagement, governance performance, issue trends, usage, and adoption.
  • Perform KM-scoped administration and assessments within Army NIPR/SIPR 365 environments, including permission and access management, site configuration, content organization, list/library configuration, and compliance checks.
  • Monitor KM automations, workflows, and Microsoft 365 solutions; track failures, errors, delays, bottlenecks, and process misalignments; recommend and implement approved optimizations.
  • Generate usage, content, workflow-performance, repository-health, metadata-compliance, adoption, and engagement reports for MSR, QSR, and ASR reporting.
  • Develop the KM automation tool and related prototype/production capability incorporating KPIs, projects, planning phases, applications, POAMs, metrics, heat maps, and reusable Power Apps, Power Automate, and Power BI components.
  • Assess emerging technologies, recommend pilot initiatives, define required platform structures, and plan integration efforts across NG 365 environments and KM-relevant tools.
  • Document, version-control, publish, and maintain all solutions, configuration standards, technical guidance, governance artifacts, and reusable components in the appropriate KM repository.
  • Develop and update SharePoint 365 governance policies, procedures, naming conventions, configuration standards, and lifecycle controls; coordinate approved updates through KMOWG and KMRWG governance bodies.
  • Coordinate with RM personnel to apply appropriate metadata, naming conventions, content structures, and permissions where SharePoint KM structures intersect records-management requirements. RM execution remains with the Government RM office.
  • Deliver recurring KM tools training, including at least one two-hour session per month covering SharePoint administration fundamentals, metadata/taxonomy, lifecycle practices, Teams, Power Apps, Power Automate, dashboards, reports, and KM repositories.
  • Provide technical assistance during governance meetings, workshops, knowledge-sharing events, training sessions, and leadership briefings as required.

Qualifications
  • At least five years of demonstrated experience designing, building, and sustaining enterprise-level solutions within the SharePoint 365 environment.
  • Experience with SharePoint Online architecture; Microsoft Power Platform, including Power Apps, Power Automate, and Power BI; enterprise site structures; metadata and taxonomy standards; content types; governance documentation; workflow automation; solution prototyping; testing; and development.
  • Experience with secure configuration and solution support across NIPR/SIPR environments, consistent with applicable Government policies and cybersecurity constraints.
  • Demonstrated ability to translate KM governance, information architecture, knowledge-flow, taxonomy, metadata, and lifecycle requirements into technical SharePoint and workflow solutions.
  • Experience developing scalable, reusable solutions suitable for enterprise-wide adoption across geographically dispersed organizations.
  • Foundational understanding of Knowledge Management principles, including taxonomy application, content lifecycle management, information governance, knowledge assurance, and stakeholder collaboration.
  • Secret security clearance and ability to satisfy applicable installation, CAC, background-investigation, information-system, IA/IT-certification, and training requirements when assigned duties require them.

Advanced Computer Learning Company, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

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