Bhubaneswar
Live, first seen by us 17 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design formal ontologies, taxonomies and controlled vocabularies in OWL, RDFS and SKOS
Integrate ontologies with knowledge graph systems and check them with reasoners
Write and maintain SPARQL queries and SHACL/ShEx constraints for data validation
Elicit domain knowledge through structured interviews and workshops with experts
Support AI/ML teams with semantically enriched data
Design and develop formal ontologies, taxonomies, and controlled vocabularies using OWL, RDFS, and SKOS.
Integrate ontologies with knowledge graph infrastructure (e.g. Neo4j, Amazon Neptune, Stardog) and validate consistency using reasoners such as HermiT or Pellet.
Write and maintain SPARQL queries and SHACL/ShEx constraints to validate data conformance.
Elicit and model domain knowledge through structured interviews and workshops with subject-matter experts.
Support downstream AI/ML teams by providing semantically enriched data for entity resolution, recommendation, and question-answering systems.
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.
In the employer’s words · Read in context
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Day 17
Similar jobs usually come down between day 6 and day 47.
Well past Accenture’s usual: its jobs come down by about day 1.
From 1,427 similar postings that came down, and 2,625 of Accenture’s. Coming down is not always a hire.
583 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Summary: As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding existing data structures and designing new data models that align with business needs and technical requirements. This position requires continuous collaboration to ensure that data models are accurate, efficient, and support the organization's objectives. The Data Modeler plays a crucial role in bridging the gap between business goals and technical implementation by facilitating clear communication and thorough analysis of data requirements throughout the project lifecycle. Roles & Responsibilities: -Design and develop formal ontologies, taxonomies, and controlled vocabularies using OWL, RDFS, and SKOS. - Elicit and model domain knowledge through structured interviews and workshops with subject-matter experts. - Integrate ontologies with knowledge graph infrastructure (e.g. Neo4j, Amazon Neptune, Stardog) and validate consistency using reasoners such as HermiT or Pellet. - Write and maintain SPARQL queries and SHACL/ShEx constraints to validate data conformance. - Align internal models with industry standards and open standards such as schema.org, Dublin Core, or domain-specific vocabularies. - Establish versioning, documentation, and governance practices for ontology lifecycle management. - Support downstream AI/ML teams by providing semantically enriched data for entity resolution, recommendation, and question-answering systems. - Required qualifications - Degree in computer science, information science, linguistics, or a related field (or equivalent experience) Hands-on experience with OWL 2, RDF, RDFS, and SKOS - Proficiency with Prot g or equivalent ontology authoring tools - Strong understanding of description logics and formal semantics - Scripting ability in Python for ontology processing and ETL tasks - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and refinement of data models to ensure consistency and scalability. - Facilitate effective communication between technical teams and business stakeholders to align data strategies. - Mentor junior team members by providing guidance and support in data modeling best practices.
Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Graph Databases Good to have skills : Neo4j Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding existing data structures and designing new data models that align with business needs and technical requirements. This position requires continuous collaboration to ensure that data models are accurate, efficient, and support the organization's objectives. The Data Modeler plays a crucial role in bridging the gap between business goals and technical implementation by facilitating clear communication and thorough analysis of data requirements throughout the project lifecycle.
- Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and refinement of data models to ensure consistency and scalability. - Facilitate effective communication between technical teams and business stakeholders to align data strategies. - Mentor junior team members by providing guidance and support in data modeling best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Graph Databases. - Good To Have Skills: Experience with Neo4j. - Strong knowledge of data modeling concepts and methodologies specific to graph database technologies. - Ability to design and optimize complex data structures for performance and scalability. - Experience in collaborating with cross-functional teams to translate business requirements into technical data models. - Familiarity with data integration and data governance principles to maintain data quality and compliance. Additional Information: - The candidate should have minimum 7.5 years of experience in Graph Databases. - This position is based at our Bhubaneswar office.
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Yes. We’ve followed 24 other Data Modeler jobs there since September 2026. 12 came down, usually after about 2 days. 12 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 at www.accenture.com
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.
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