Knowledge Graph Architect — Scalable ETL & RAG Pipelines

Appnovation; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Appnovation Technologies, a global digital partner, is seeking a Data Architect/Engineer to own data structures behind a graph-RAG platform and the ingestion pipelines from enterprise sources like SharePoint. You will define schemas, build scalable pipelines, ensure data quality, and guide backend choices for long-term architecture.

The role emphasizes modeling across relational and graph data, experience with Neo4j and Postgres/Supabase, and strong Python-based ETL skills, with a focus on

Qualifications

• 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 Postgres/Supabase at scale.
• Strong ETL / data pipeline engineering in Python, including large-scale, incremental, and change-data ingestion.
• Experience with enterprise content ecosystems: SharePoint, ideally Power Platform / Power Automate.
• Knowledge representation, taxonomies/ontologies, and versioned/temporal data.
• Understanding of how data structures feed RAG and LLM retrieval quality.
• SQL proficiency; experience with orchestration tools (e.g., Airflow) and cloud data services.
• Familiarity with data governance, security, and privacy practices.
• Strong documentation and cross-team communication skills.

Responsibilities

• Define the schema, taxonomy, and graph modeling for the knowledge domains.
• Design how documents, versions, and their machine-readable representations are structured, and how facts evolve over time (including temporal replay).
• Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint and the wider Microsoft stack), handling multimodal content.
• Keep the knowledge graph in sync as source documents change frequently.
• Advise on whether the current backend approach (Supabase/Postgres) is the right long-term architecture, and validate ingested content quality with QA.
• Establish data quality, lineage, and governance standards across pipelines.
• Build monitoring, alerting, and error-handling for ingestion jobs.
• Document data models, schemas, and pipeline architecture.
• Optimize pipeline cost, throughput, and reliability over time.

Skills

Data modeling

ETL pipelines

Python

RAG / LLM

SQL

Cross-team communication

Education

Bachelor’s Degree in Computer Science

Tools

Neo4j

Postgres/Supabase

Airflow

SharePoint

Power Platform / Power Automate

Job description

Appnovation Technologies, a global digital partner, is seeking a Data Architect/Engineer to own data structures behind a graph-RAG platform and the ingestion pipelines from enterprise sources like SharePoint. You will define schemas, build scalable pipelines, ensure data quality, and guide backend choices for long-term architecture.

The role emphasizes modeling across relational and graph data, experience with Neo4j and Postgres/Supabase, and strong Python-based ETL skills, with a focus on