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 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 the existing data landscape and collaborating to design and refine data models that support both current and future business needs. This position requires continuous interaction and alignment with multiple teams to ensure that data structures are optimized and accurately represent organizational requirements, facilitating effective data management and utilization.

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 efforts to ensure data models align with business objectives and technical standards.
- Facilitate communication between technical and non-technical stakeholders to clarify data requirements and constraints.
- Mentor junior team members to support their growth and development within the data modeling discipline.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Graph Databases.
- Good To Have Skills: Experience with Neo4j.
- Strong knowledge of data modeling principles and best practices for graph-based data structures.
- Ability to analyze complex data relationships and translate them into efficient, scalable models.
- Experience working with data integration and transformation processes to support data consistency.
- Familiarity with query languages and tools used in graph database environments.

Additional Information:
- The candidate should have minimum 5 years of experience in Graph Databases.
- This position is based at our Bhubaneswar office.

Education:
- A 15 years full time education is required.

15 years full time education

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.

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