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Data Taxonomy Jobs in Raleigh, NC (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access. * Provide retrieval-ready context (RAG pipelines, vector stores, knowledge ...

IQVIA

Data Security Architect (Remote)

Durham, NC · Hybrid

$61.50 - $79.25/hr

Develop and govern IQVIA's enterprise data classification taxonomy and policy framework, working with Legal, Privacy, Compliance, and business data owners to define classification tiers, handling ...

IQVIA

Data Security Architect (Remote)

Durham, NC · Hybrid

$61.50 - $79.25/hr

Develop and govern IQVIA's enterprise data classification taxonomy and policy framework, working with Legal, Privacy, Compliance, and business data owners to define classification tiers, handling ...

IQVIA, Inc.

Data Security Architect (Remote)

Durham, NC · On-site +1

$61.50 - $79.25/hr

Develop and govern IQVIA's enterprise data classification taxonomy and policy framework, working with Legal, Privacy, Compliance, and business data owners to define classification tiers, handling ...

NC SECU

IT Service Financial Analyst

Raleigh, NC · Hybrid

Manages data ingestion, transformation, validation, TBM taxonomy alignment, service mappings, and allocation logic across platform domains. 15% - Platform Development, Automation & Optimization:

Duke University

Knowledge Management Specialist

Durham, NC · On-site

$82K - $141K/yr

... taxonomy, and drives the re-architecture of DUMAC's document storage so that information is ... The position blends meticulous data-curation with a strong process-automation mindset, a hands-on ...

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All JobsData Taxonomy JobsData Taxonomy Jobs in Raleigh, NC

Data Taxonomy information

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 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 is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.

What is data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, enabling easier data management, retrieval, and analysis. Data professionals often use standards, metadata, and tools like data modeling to develop and maintain effective taxonomies.

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 taxonomy?

To become a data taxonomy specialist, develop skills in data management, classification, and metadata standards, often through degrees in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and industry standards like Dublin Core or SKOS can enhance qualifications; certifications in data management or taxonomy design are also beneficial.

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 are popular job titles related to Data Taxonomy jobs in Raleigh, NC? For Data Taxonomy jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Raleigh, NC look for? The top searched job categories for Data Taxonomy jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Taxonomy jobs? Cities near Raleigh, NC with the most Data Taxonomy job openings:
Data Taxonomy jobs near you
Infographic showing various Data Taxonomy job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution.

Manager, Data Engineer (Remote)

Archgroup

Raleigh, NC • Remote

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted just now

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.

Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.

As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.

You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.

Responsibilities

  • Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities anddeliverdata-related goals.

  • Design clear, analytics-ready data structures byanticipatingdownstream analytical needs.

  • Evaluate and adoptnew technologiesand data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery whilemaintainingappropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills

Data Engineering

  • Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Sparkproficiency(PySparkpreferred) and experience with distributed data processing, including building scalable pipelines andoptimizingperformance for large-scale datasets

  • Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness

  • Insurance data modelingforanalytics and actuarial-ready data structures

  • MLOpsfamiliarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership &Operating Model

  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills

  • 6+years' experienceofhands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience

  • Hands-on Databricks experience highly preferred

Education

  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$100,500 - $174,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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