Senior Semantic Data Architect for AI & Governance

Hitachi Automotive Systems Americas, Inc.

Dallas (TX)

On-site

USD 180,000 - 240,000

Full time

8 days ago

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Job summary

Hitachi Digital Services in Dallas, TX seeks a Data and Context Architect to design the semantic, knowledge, and governance layers that enable AI agents to operate on trusted, well-structured data assets. You will design the metrics layer, ontology framework, search indexes, and business glossary, and drive data readiness across scope, freshness, quality, governance, and usability.

Requirements include 12+ years in data architecture or analytics, delivering enterprise semantic layers or

Qualifications

  • 12+ years of experience in data architecture or analytics architecture.
  • Proven delivery of at least one enterprise-scale semantic layer, knowledge graph, or governed data product.
  • Experience leading requirements workshops with business SMEs and presenting architectural recommendations to senior leadership.

Responsibilities

  • Design and develop the semantic, knowledge, and governance layers for AI agents.
  • Design the metrics layer, ontology framework, search indexes, and business glossary.
  • Establish entitlement frameworks, data lineage standards, and agent identity requirements.
  • Define governance and data readiness across dimensions like scope, freshness, quality, and usability.

Skills

Databricks / Lakehouse
Semantic layer design
Knowledge graphs / RDF
Vector databases / semantic search
Data governance
Event-driven architectures (Kafka/MSK)
Data quality management

Tools

Databricks
PySpark
Unity Catalog
Neo4j
RDF/OWL
Kafka
Amazon MSK

Job description

Hitachi Digital Services in Dallas, TX seeks a Data and Context Architect to design the semantic, knowledge, and governance layers that enable AI agents to operate on trusted, well-structured data assets. You will design the metrics layer, ontology framework, search indexes, and business glossary, and drive data readiness across scope, freshness, quality, governance, and usability.

Requirements include 12+ years in data architecture or analytics, delivering enterprise semantic layers or

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