Data Architect / Engineer

📋 Description

• Define the schema, taxonomy, and graph modeling for the knowledge domains.
• Design how documents, versions, and their machine-readable representations are structured, and how
• Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint and the wider
• Keep the knowledge graph in sync as source documents change frequently.
• Advise on backend approach (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 a related field.
• 5+ years of experience 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, and
• Experience with enterprise content ecosystems: SharePoint, ideally Power Platform / Power Automate.
• Knowledge representation, taxonomies/ontologies, and versioned/temporal data.

🎁 Benefits

• We value diverse teams and are an Equal Opportunity Employer.
• Accommodations are available upon request throughout the recruitment process.