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AI Data Architect

Hitachi

Dallas, TX · HybridFull-timePosted 2w agoStill listed today

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At a glance

Compensation
No compensation found
Location
Dallas, TXHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Hitachi Digital Services is seeking an AI Data Architect to design semantic, knowledge, and governance layers that enable AI agents to use trusted, structured data. The role includes developing metrics layers, ontologies, search indexes, and business glossaries; assessing data readiness; translating business rules into governed models; and defining entitlement, lineage, and agent identity frameworks. The posting requires 12+ years of relevant experience and prefers experience in automotive, manufacturing, or supply chain environments.

Skills & qualifications

RequiredNice to have

Skills

Lakehouse Platforms, requiredCloud Data Platforms, requiredDatabricks, nice to haveDelta Lake, requiredUnity Catalog, requiredPySpark, requiredSemantic Layers, requiredMetrics Layers, requiredDimensional Modeling, requiredDomain-Driven Data Modeling, requiredOntologies, requiredKnowledge Graphs, requiredRDF/OWL, requiredNeo4j, requiredVector Databases, requiredSemantic Search, requiredEmbeddings, requiredRAG Architectures, requiredData Governance, requiredData Lineage, requiredAccess Management, requiredBusiness Glossaries, requiredMaster Data Management, requiredEvent-Driven Architectures, requiredKafka, requiredAmazon MSK, requiredAlerting Platforms, requiredRules Engines, requiredData Quality Management, requiredData Reconciliation, requiredData Readiness Assessments, requiredRequirements Workshops, requiredArchitectural Recommendations, requiredGenAI Grounding, nice to haveText-to-SQL, nice to haveNatural Language Analytics, nice to have

Qualifications

12+ Years Data Architecture Experience, requiredEnterprise-Scale Semantic Layer Delivery, requiredKnowledge Graph Delivery, requiredGoverned Data Product Delivery, requiredDatabricks Certification, nice to haveCloud Architecture Certification, nice to haveData Architecture Certification, nice to have

Full job description

Function

Cloud & Data Engineering Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job description

Role Summary

We are seeking AI Data Architect to design the semantic, knowledge, and governance layers that enable AI agents to operate on trusted, well-structured, and governed data assets.

Key Responsibilities

  • Design and develop the metrics layer, ontology framework, search indexes, and business glossary.
  • Establish and evaluate data readiness across dimensions such as 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.

Required Technical Skills

  • 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.

Minimum Experience Required

  • 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 (SMEs) and developing architectural recommendations for senior leadership and stakeholders.

Preferred Skills

  • 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.

#LI-MS2

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

How this job compares

Set against the 1,661 open Data Architect jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This postingNot listed
  • Texas median$126–235K/yr91 salary ranges
  • US median$73–85/hr26 hourly ranges
Openings
Olive Jobs lists 126 open Data Architect jobs in Texas and 1,661 across the US. 13% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 12 years of experience — more than three in four Data Architect postings that state a minimum ask for (median 8 years, across 1,501 postings).
Education
555 of the 1,661 open Data Architect jobs (33%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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