Graph Data Engineer: Semantic Map & Data Lineage

Redhorse Corporation; Arlington (VA); On-site; USD 140,000 - 170,000; Full time

Job summary

Redhorse Corporation seeks a driven Graph Data Engineer to design, build, and maintain the Enterprise Semantic Map, an ontology-grounded metadata graph. You will lead automated source discovery, metadata ingestion, and provenance tracking across enterprise data sources to enable trustworthy discovery and downstream AI agents.

You'll translate complex governance and semantic requirements into scalable graph structures, align elements to ontologies, and mentor engineers while partnering with data,

Qualifications

• Bachelor’s degree with 5+ years of relevant professional experience.
• Active TS SCI clearance.
• Experience with data pipelines, ETL.
• Experience with graph databases & ontology standards.
• Ability to communicate technical decisions to stakeholders.

Responsibilities

• Automate source discovery and ingest metadata from enterprise data assets.
• Scale pipelines and maintain automated ontology alignment.
• Define provenance and lineage capture at ingestion.
• Align data elements to Enterprise Core Ontology and Domain Ontologies.
• Design graph queries and validate metadata retrieval.
• Lead enterprise-wide governance metadata and secure data handling.

Skills

Automation scripting

SQL

Knowledge graphs

Cypher & SPARQL

APIs & integration

Systems thinking

Data pipelines

Attention to detail

Stakeholder comms

Data engineering

Education

Bachelor’s Degree

Job description

Redhorse Corporation seeks a driven Graph Data Engineer to design, build, and maintain the Enterprise Semantic Map, an ontology-grounded metadata graph. You will lead automated source discovery, metadata ingestion, and provenance tracking across enterprise data sources to enable trustworthy discovery and downstream AI agents.

You'll translate complex governance and semantic requirements into scalable graph structures, align elements to ontologies, and mentor engineers while partnering with data,