Data & Context Architect

Hitachi • Dallas, TX

1d

About The Position

Hitachi Digital Services is seeking a Data and Context Architect within Cloud & Data Engineering to design the semantic, knowledge, and governance layers that enable AI agents to use trusted, well-structured, and governed data assets. The role involves developing semantic and metrics capabilities, ontologies, knowledge graphs, search indexes, business glossaries, and governance practices. The architect will assess data readiness, translate business rules into reusable models, and define standards for data access, lineage, and agent identity. The position also involves working with business subject matter experts and presenting architectural recommendations to senior leadership and stakeholders.

Requirements

• 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 subject matter experts and developing architectural recommendations for senior leadership and stakeholders.
• Expertise with lakehouse and cloud-based data platforms, preferably Databricks, including Delta Lake, Unity Catalog, PySpark, or comparable technologies.
• Strong knowledge of semantic and metrics layers, dimensional modeling, and domain-driven data modeling.
• Hands-on experience with ontologies and knowledge graphs, including RDF/OWL, Neo4j, or similar property graph technologies.
• Experience with vector databases, semantic search, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
• Deep understanding of data governance disciplines, including data lineage, access management, business glossaries, and master data management.
• Experience with event-driven architectures and business rules implementation using technologies such as Kafka, Amazon MSK, alerting platforms, and rules engines.
• Proficiency in data quality management, data reconciliation, and data readiness assessments.

Nice To Haves

• Domain experience in automotive, manufacturing, or supply chain environments.
• Exposure to GenAI grounding techniques, text-to-SQL solutions, and natural language analytics platforms.
• Professional certifications in Databricks, cloud architecture, or data architecture.

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 subject matter experts and translate them into reusable, governed, and scalable models.
• Define entitlement frameworks, data lineage standards, and agent identity requirements.
• Lead requirements workshops with business subject matter experts and develop architectural recommendations for senior leadership and stakeholders.

Benefits

• Industry-leading benefits, support, and services for holistic health and wellbeing.
• Flexible arrangements, dependent on role and location.
• Autonomy, freedom, and ownership in the work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed