Data & Context Architect — Semantic Layer & Governance

Hitachi Digital Services, LLC

Dallas (TX)

On-site

USD 150,000 - 210,000

Full time

7 days ago
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Job summary

Hitachi Digital Services, LLC is seeking a seasoned Data & Context Architect to design semantic, knowledge, and governance layers enabling AI agents to operate on trusted data assets. You will shape metrics, ontologies, and governance to support scalable, governed data platforms.

You will collaborate with SMEs to extract business rules, define data lineage, and ensure alignment with enterprise data management practices.

Qualifications

  • 12+ years of experience in data architecture, data engineering, 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 developing architectural recommendations for senior leadership and stakeholders.

Responsibilities

  • Design and develop the metrics layer, ontology framework, search indexes, and business glossary.
  • Establish and evaluate data readiness across scope, freshness, semantic clarity, quality, governance, usability, and operational effectiveness.
  • Elicit business rules from SMEs and translate them into reusable, governed, and scalable models.
  • Define entitlement frameworks, data lineage standards, and agent identity requirements.

Skills

Databricks
Delta Lake
Unity Catalog
PySpark
Semantic layers
Data governance
Knowledge graphs
RDF/OWL
Kafka
Data lineage
Master data mgmt

Tools

Neo4j
RAG architectures
Vector databases
Event-driven architectures

Job description

Hitachi Digital Services, LLC is seeking a seasoned Data & Context Architect to design semantic, knowledge, and governance layers enabling AI agents to operate on trusted data assets. You will shape metrics, ontologies, and governance to support scalable, governed data platforms.

You will collaborate with SMEs to extract business rules, define data lineage, and ensure alignment with enterprise data management practices.

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