Back to jobs

AI Data Architect

Dallas, Texas, United States

Live, first seen by us 14 days ago
Pay
Pay not listedSimilar roles state $122K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

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.

  • Design the metrics layer, ontology framework, search indexes, and business glossary

  • Assess data readiness across scope, freshness, quality, governance and usability

  • Elicit business rules from SMEs and turn them into reusable, governed models

  • Define entitlement frameworks, data lineage standards, and agent identity requirements

From the employer’s posting
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.
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.

About Hitachi

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing.

In the employer’s words · Read in context

Apply at Hitachi

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 21, 202614 days ago
Recorded sightings
39
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$122K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 14

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Hitachi is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • Delta Lake
  • Kafka
  • Neo4j
  • PySpark
Where the posting names them
- 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.
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.
- 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
- 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.
- 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.

Your next step

Complete your application on hitachi.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

  • You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
  • “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Dallas, Texas, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.