Description

You will design and implement an enterprise semantic layer that enables natural language interaction with curated data products.

Responsibilities

• Architect and develop the enterprise context layer to connect semantic implementations across multiple domains.
• Design the central data consumption layer and define the curated data product strategy.
• Define ontology models, semantic structures, and governance standards in collaboration with business and technical stakeholders.
• Translate high-level architectural concepts into actionable implementation plans and deliverables.
• Establish reusable frameworks for semantic information orchestration and enterprise data consumption.

Required Skills

• 5+ years of experience designing and implementing enterprise semantic layers or semantic orchestration solutions.
• Hands-on experience with graph technologies, specifically Neo4j.
• Proficiency with Snowflake for cloud data platform operations.
• Experience working with Collibra for enterprise data cataloging and governance.
• Strong understanding of LLM frameworks and enabling natural language or chat-based interaction with structured and unstructured data.
• Proven ability to define ontology models, semantic structures, and enterprise information architecture.
• Experience working across multiple platforms and business domains.

Preferred Skills

• Experience with modern cloud data platforms used as centralized data hubs.
• Familiarity with enterprise data marketplace and reusable AI/semantic frameworks.

Key Skills

Education

Any Gradute