Data Architect / Engineer

📋 Description

• Own data structures for the graph-RAG platform.
• Model schema, taxonomy and graph for knowledge domains.
• Build robust ingestion pipelines from SharePoint and MS stack.
• Maintain knowledge graph as source docs evolve.
• Advise on backend approach (Supabase/Postgres) long-term.
• Set data quality, governance and lineage standards.

🎯 Requirements

• Bachelor’s in CS or related field.
• 5+ years in data engineering/architecture roles.
• Deep modeling across relational and graph DBs; Neo4j, Postgres.
• Strong Python ETL pipelines; large-scale ingestion.
• Experience with SharePoint and Power Platform/Automate.
• Knowledge of taxonomies, versioned/temporal data, RAG/LLM.

🎁 Benefits

• Collaborative, fast-paced environment.
• Global services tech team exposure.
• Equal opportunity employer; diverse teams.
• Accommodations available upon request.
• Opportunity to influence data architecture and governance.