Assists with data platform blueprint and architecture design, collaborating with integration and data architects. Develops ontologies, taxonomies, semantic models, metadata schemas, and knowledge graphs using RDF, OWL, SKOS, and SHACL. Designs scalable linked-data architectures, supports semantic search and AI-driven recommendations, and manages graph databases and query systems. The role also involves integrating domain standards, improving data discovery, and communicating technical concepts to stakeholders.
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.
Key Responsibilities:
- Knowledge Modeling & Ontology Design
- Knowledge in any of the domain-specific standards
- Develop ontologies and taxonomies using any of the open-source knowledge graph tools and build sophisticated knowledge graphs for structured data representation that aligns with domain standards.
- Build and refine knowledge graphs for structured data representation, aligning with domain standards
- Design scalable architectures for linked data and semantic models, integrating data from multiple sources.
- Design metadata schemas and common data vocabulary, leveraging RDF/OWL to enhance data accessibility.
- Use tools like Prot g or TopBraid Composer or any other tool to define and manage ontology structures.
- Develop data models that support semantic search, data extraction, and AI-driven recommendations.
Technical Experience:
Must Have Skills:
- Minimum of 2 years in ontology development, knowledge modeling, and graph database management.
- Proficiency in RDF, OWL, SKOS or SHACL
- Proficiency in Prot g or TopBraid Composer or any other modelling tool
- Familiarity with SPARQL or other graph query languages
- Knowledge in any of the knowledge graph platforms like Neo4j, Dgraph, StarDog, TopBriad ,ArangoDB, and Blazegraph.
- Ability to incorporate domain knowledge into semantic models for actionable business insights.
Good to Have Skills:
- Collaborate with AI/ML teams to implement natural language processing and contextual data retrieval using knowledge graphs.
- Enhance data discovery and search capabilities through graph-based search relevancy and knowledge representation.
- Experience with knowledge graph visualization tools like Graphistry and Gephi.
- Experience in programming skills in Python or Java to implement custom graph applications and integrations.
- Integrate graph database solutions for efficient data querying and management.
- Familiarity with open-source graph databases and their applications in real-time analytics.
Professional Experience:
- Good communication skills for conveying complex concepts to technical and non-technical stakeholders.
- Ability to work both independently and within a team setting, showing leadership in best practices.
- Proactive, innovative, and detail-oriented, with a strong focus on emerging technologies.
Educational Qualification:
- Bachelor s or master s degree in information science, Data Science, Knowledge Management, or a related field.
- Certifications in ontology management or data standards are highly valued.
15 years full time education
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.
Key Responsibilities:
- Knowledge Modeling & Ontology Design
- Knowledge in any of the domain-specific standards
- Develop ontologies and taxonomies using any of the open-source knowledge graph tools and build sophisticated knowledge graphs for structured data representation that aligns with domain standards.
- Build and refine knowledge graphs for structured data representation, aligning with domain standards
- Design scalable architectures for linked data and semantic models, integrating data from multiple sources.
- Design metadata schemas and common data vocabulary, leveraging RDF/OWL to enhance data accessibility.
- Use tools like Prot g or TopBraid Composer or any other tool to define and manage ontology structures.
- Develop data models that support semantic search, data extraction, and AI-driven recommendations.
Technical Experience:
Must Have Skills:
- Minimum of 2 years in ontology development, knowledge modeling, and graph database management.
- Proficiency in RDF, OWL, SKOS or SHACL
- Proficiency in Prot g or TopBraid Composer or any other modelling tool
- Familiarity with SPARQL or other graph query languages
- Knowledge in any of the knowledge graph platforms like Neo4j, Dgraph, StarDog, TopBriad ,ArangoDB, and Blazegraph.
- Ability to incorporate domain knowledge into semantic models for actionable business insights.
Good to Have Skills:
- Collaborate with AI/ML teams to implement natural language processing and contextual data retrieval using knowledge graphs.
- Enhance data discovery and search capabilities through graph-based search relevancy and knowledge representation.
- Experience with knowledge graph visualization tools like Graphistry and Gephi.
- Experience in programming skills in Python or Java to implement custom graph applications and integrations.
- Integrate graph database solutions for efficient data querying and management.
- Familiarity with open-source graph databases and their applications in real-time analytics.
Professional Experience:
- Good communication skills for conveying complex concepts to technical and non-technical stakeholders.
- Ability to work both independently and within a team setting, showing leadership in best practices.
- Proactive, innovative, and detail-oriented, with a strong focus on emerging technologies.
Educational Qualification:
- Bachelor s or master s degree in information science, Data Science, Knowledge Management, or a related field.
- Certifications in ontology management or data standards are highly valued.
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.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.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
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To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
