AI Data Architect (Knowledge Graphs & LLM) [Contractor]

Role Summary

We are looking for a visionary Lead Data Architect to spearhead the design of a cutting-edge Knowledge Graph foundation that will power next-generation, LLM-driven content discovery. Our target playground is the cutting edge of modern cloud data platforms, specifically Microsoft Fabric IQ on Azure (or equivalent stacks). True to our culture of ownership and passion, you won't just draw diagrams; you will bridge the gap between complex enterprise data and Generative AI, shaping how intelligent systems search and understand information. As a technical lighthouse, you will align direction with client stakeholders, helping them become superheroes through data. In this role, you will lead the architecture, drive the GenAI strategy, and foster an environment where we share knowledge and grow together to deliver nothing less than excellence.

Key Responsibilities:

• Design the end-to-end System Architecture on a modern cloud/data platform (e.g., Azure / Microsoft Fabric)
• Define the Knowledge Graph ontology (entities, relationships, business rules), using platforms such as Microsoft Fabric IQ or equivalent
• Map source-to-graph integrations into the target data lake/lakehouse (e.g., OneLake)
• Design the LLM enrichment strategy (taxonomy, prompts, evaluation) using Azure OpenAI or equivalent LLM services
• Produce the phased data roadmap for the Build phase
• Align technical direction with client stakeholders

Required Qualifications:

• Solid experience in data architecture, with deep knowledge of knowledge graphs, semantic layers, or ontologies.
• Hands-on experience with modern cloud data platforms and services (e.g., Azure, AWS, GCP, Snowflake, Databricks)
• Working knowledge of graph/knowledge-layer platforms such as Microsoft Fabric IQ, Palantir Foundry, Neo4j with ontology support, or dbt Semantic Layer
• Proficient in knowledge graph/ontology modeling concepts (e.g., RDF/OWL, property graphs, semantic layers) and comfortable working across query languages such as GQL, Cypher, or SPARQL
• Experience designing LLM-augmented pipelines with human-in-the-loop review
• Strong client-facing communication and leadership skills

Nice to have:

• Hands-on experience with Microsoft Fabric / Fabric IQ specifically
• Direct hands-on experience with RDF/OWL
• CPG, retail, or food industry experience