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Professional Data Modeler Jobs in Arkansas (NOW HIRING)

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries * Build ... GCP Professional Data Engineer certification * Experience supporting ML/AI data infrastructure ...

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries * Build ... GCP Professional Data Engineer certification * Experience supporting ML/AI data infrastructure ...

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

... models, schemas, and performance-optimized SQL queries • Build and maintain data pipelines ... • GCP Professional Data Engineer certification • Experience supporting ML/AI data ...

Cloud Data Engineer

Fayetteville, AR · On-site

$109K - $131K/yr

Build curated marts and semantic models that power BI tools (Looker, Power BI, Tableau, or similar ... Preferred experience Google Cloud Professional Data Engineer certification. Hands-on experience ...

Data Engineer

Arkansas City, AR · On-site

$106K - $128K/yr

Note: Military experience is equivalent to professional experience * Eligibility Requirement ... Ability to understand logical and physical data models, big data storage architecture, data ...

Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and ... and AI/ML models - Supporting business development efforts Travel Requirements Up to 80% Job ...

Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and ... and AI/ML models - Supporting business development efforts Travel Requirements Up to 80% Job ...

Cloud Engineer

Fayetteville, AR · On-site

$90 - $130/hr

Build curated marts and semantic models that power BI tools (Looker, Power BI, Tableau, or similar ... Google Cloud Professional Data Engineer certification. * Hands‑on experience with Dataplex (or ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and ...

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and ...

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... As a Manager you can lead the development of data models, support compliance with data governance ...

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ... As a Manager you can lead the development of data models, support compliance with data governance ...

Data Scientist

Pine Bluff, AR · On-site

$85 - $120/hr

This role will be responsible for analyzing complex datasets, developing predictive models ... Professionals who share our values Suzano - People and Culture. Read more here: are pleased to ...

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Showing results 1-20

Professional Data Modeler information

What is the difference between Professional Data Modeler vs Data Analyst?

AspectProfessional Data ModelerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentDesigning data structures, creating data models, collaborating with database developersAnalyzing data sets, generating reports, providing insights for decision-making
Employer & Industry UsageUsed in data warehousing, database design, enterprise data managementUsed across finance, marketing, healthcare, and business sectors for data-driven decisions

The Professional Data Modeler focuses on designing and structuring data systems, while the Data Analyst interprets data to provide actionable insights. Both roles require strong analytical skills but differ in their primary responsibilities and work environments.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data management tools can earn higher salaries, especially in large organizations or tech hubs.

What are the most commonly searched types of Data Modeler jobs in Arkansas?

The most popular types of Data Modeler jobs in Arkansas are:

What are popular job titles related to Professional Data Modeler jobs in Arkansas?

For Professional Data Modeler jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Professional Data Modeler jobs in Arkansas look for?

The top searched job categories for Professional Data Modeler jobs in Arkansas are:

What cities in Arkansas are hiring for Professional Data Modeler jobs?

Cities in Arkansas with the most Professional Data Modeler job openings:

Knowledge Modeler / Ontologist Manager

Accenture

Bentonville, AR • On-site

$48 - $62.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 496 rated business services


Job description

We Are:

Accenture is a global professional services and solutions company that helps leading organizations reinvent with digital, cloud, data, and AI capabilities, drawing on its large global workforce, industry expertise, and ecosystem partnerships to create 360 value.

By combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business outcomes at speed and scale.

You Are:

We are seeking an experienced Knowledge Modeler / Ontologist to contribute to domain ontology design, governance, and delivery for enterprise knowledge graph initiatives. Working collaboratively within a team and under the guidance of an ontology governance framework, this role bridges business stakeholders, data engineering, and AI/ML teams - translating complex business domains into rigorous, standards-compliant semantic models that power intelligent applications.

Key Responsibilities:

Ontology Design & Development:

  • Lead the full ontology lifecycle supporting a defined project scope: requirements gathering, conceptual modeling, formal specification (OWL 2, RDFS, SKOS), validation, and deployment

  • Design T-Box (schema) structures and contribute to A-Box (instance) hydration patterns across structured and unstructured data sources

  • Apply and uphold established naming conventions, URI strategies, and modular ontology architecture principles

  • Apply advanced modeling patterns where appropriate (e.g., reification, n-ary relations, punning) in consultation with senior team members

  • Create and evolve ontologies, taxonomies, and vocabularies using standards including OWL, RDF, RDFS, and SKOS

  • Map traditional data structures (e.g., relational databases) into semantic frameworks

  • Build and maintain knowledge graphs to support reasoning, discovery, and advanced analytics

  • Ensure models align with business goals, regulatory requirements, and data governance practices

  • Coach the business (SMEs and stakeholders) in developing and validating competency questions to guide and test ontology scope and correctness

  • Maintain awareness of relevant upper ontologies (e.g., BFO, schema.org) and apply alignment patterns as appropriate

Stakeholder Engagement:

  • Facilitate business SME workshops with BA support to elicit domain concepts, relationships, and competency questions

  • Translate ambiguous business language into precise, machine-readable semantics

  • Communicate modeling decisions to non-technical stakeholders in accessible terms

  • Support feedback loops between business validation and ontology iteration

Technical Contribution:

  • Apply ontology governance standards: version control, change management, and quality gates (W3C compliance, SHACL/ShEx validation)

  • Define and enforce Definition of Done criteria for ontology deliverables in collaboration with the senior team

  • Apply R2RML / RML mapping strategies for structured data integration

  • Collaborate with Entity Extraction / NLP teams on ontology-guided information extraction from unstructured sources

  • Collaborate with knowledge graph hydration, testing, and validation against competency questions

Team Collaboration & Delivery:

  • Work effectively within cross-functional delivery teams spanning Data Engineering, AI/ML, Product, and Business SMEs

  • Collaborate with and support junior team members, sharing knowledge and modeling approaches

  • Meet delivery timelines and proactively flag dependencies or risks to senior ontologist or project lead

  • Provide accurate and achievable estimates for ontology-related work and contribute to roadmap planning as part of the broader project scope

Key Skills and Competencies:

  • Ontology Engineering: Proficiency in OWL 2, RDF, RDFS, SKOS, SHACL, and SPARQL for building and validating semantic models

  • Semantic Web Standards: Working knowledge of W3C standards and best practices for linked data and knowledge representation

  • Knowledge Graph Development: Experience designing and querying knowledge graphs using tools such as GraphDB, Stardog, or Neo4j

  • Tooling: Hands-on experience with ontology authoring tools such as Protege or Ontotext

  • Data Integration: Familiarity with R2RML or RML for mapping relational or semi-structured sources into semantic models

  • Competency Question Development: Ability to formulate and use competency questions to scope, validate, and iterate on ontological models

  • Upper Ontology Awareness: Familiarity with upper ontologies such as BFO, DOLCE, or schema.org and their role in interoperability

  • Communication & Collaboration: Ability to translate complex technical concepts into business-friendly language and engage effectively with both technical and non-technical stakeholders

This role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%

Here's What You Need:

  • Minimum 5 years of hands-on experience in ontology engineering, knowledge modeling, or a closely related semantic web discipline

  • Minimum 5 years demonstrable experience delivering domain ontologies in an enterprise or consulting context

  • Bachelor's in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or a related field

Preferred Qualifications:

  • Master's degree in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or a related field - or equivalent practical experience

  • Experience working in Agile or iterative delivery environments preferred

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 09/30/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture


Role Location Annual Salary Range
California $94,400 to $293,800
Cleveland $87,400 to $235,000
Colorado $94,400 to $253,800
District of Columbia $100,500 to $270,300
Illinois $87,400 to $253,800
Maine $80,400 to $216,200
Maryland $94,400 to $253,800
Massachusetts $94,400 to $270,300
Minnesota $94,400 to $253,800
New York $87,400 to $293,800
New Jersey $100,500 to $293,800
Virginia $87,400 to $270,300
Washington $100,500 to $270,300

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About Accenture

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us anemailor speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, pleaseclick herefor additional important information.

Please read Accenture'sRecruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.


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