Data Architect / Engineer

📋 Description

• Own data structures behind a graph-RAG platform and pipelines that ingest content at scale.
• Define schema, taxonomy and graph model for knowledge domains; design document structure and
• Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint, Microsoft stack).
• Keep knowledge graph in sync as source documents evolve.
• Advise on backend architecture (Supabase/Postgres) and validate ingested content quality with QA.
• Establish data quality, lineage, and governance standards across pipelines.

🎯 Requirements

• Bachelor’s Degree in Computer Science or related field.
• 5+ years in data engineering / architecture roles.
• Deep data modeling across relational and graph paradigms; graph databases (Neo4j) and
• Strong ETL / data pipeline engineering in Python, including large-scale, incremental ingestion.
• Experience with enterprise content ecosystems: SharePoint, Power Platform / Power Automate.
• KNowledge representation, taxonomies/ontologies, and versioned/temporal data.

🎁 Benefits

• Note: Benefits information is not provided in the listing.