Semantic Data Modeler

Responsibilities

• Serve as a subject matter expert in semantic data modeling on the graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies.
• Collaborate with senior engineers and architects to standardize tooling, design patterns, semantic models, and modeling approaches.
• Help define the technical direction for core semantic modeling capabilities, ensuring scalable and robust solutions.
• Independently research, evaluate, and propose innovative solutions to complex and ambiguous data modeling challenges.
• Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms.
• Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes.
• Partner with product owners to refine features into actionable user stories that deliver business value.
• Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support the domain.
• Recommend and implement semantic modeling tools, platforms, and technologies.
• Support ontology governance processes and enterprise graph management tools.
• Collaborate with stakeholders, including data scientists, engineers, and business teams, to understand requirements and build effective semantic solutions.
• Provide technical mentorship to junior team members on semantic data modeling principles and implementation patterns.

Qualifications

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.