Graph Architect / Data Architect

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
12 Months
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • GenAI
  • AI Architect
  • agent orchestration
  • Graph Engineer
  • Neo4j implementation
  • database
  • data layers
  • ABAP development
  • pipeline architecture
  • data extraction
  • Azure
  • Kubernetes
  • Systems
  • Process
  • Data
  • Regulatory
  • data architecture
  • risk
  • lineage
  • governance.

Summary


Title: Data Architect
Location: Remote, US, Time zone: CST, contractor, 4 months duration
Duration: 6 months Contract

Job Description:
THE ROLE We are looking for a Data Architect to own the data and semantic foundation of an Agentic Knowledge Graph platform the Knowledge Graphs, ontology, and ingestion pipelines that the agent layer reasons over. You will work alongside a GenAI / AI Architect (agent orchestration) and a Graph Engineer (Neo4j implementation), and your work must be production-grade and defensible in an enterprise Architecture Review Board setting.


REQUIRED EXPERIENCE:
Production knowledge graph systems semantic layer and ontology design that has been built, iterated on, and maintained against real enterprise source systems. Enterprise data extraction at scale on-premises ERP, heterogeneous multi-system estates, and the complexity that comes with real enterprise data. Enough SAP depth to reason about RFC access, ABAP table structure, and the distinction between the program, database, and data layers. ABAP development experience is not required. Ingestion pipeline architecture extraction, normalization, transformation, and graph loading with clear lineage at every step. ARB-grade documentation logical diagrams, integration flows, data governance specs. Not slide-deck architecture. Enterprise cloud or hybrid infrastructure Azure, Kubernetes, or equivalent. Containerized workload deployment experience expected.


STRONG DIFFERENTIATORS:
Experience designing schemas across multiple connected KG types (Systems, Process, Data, Regulatory) not siloed graphs. Ability to model ERP three-layer structure (program, database, data) and design extraction and traversal logic across all three. Fluency working alongside a Graph Engineer on Neo4j schema decisions without needing to own the Cypher implementation. Prior involvement in an enterprise architecture review process you know how to frame data architecture in terms of cost, risk, lineage, and governance. Comfortable with hosting ambiguity: designs that hold across cloud, on-premises, and hybrid until a final hosting decision is made.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10109811
  • Position Id: 9061116
  • Posted 3 hours ago
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