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 a Data and Context 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.

Requirements

Must-haves

Cloud & Data Engineering
We are seeking a Data and Context 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.
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.

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.

Application prep

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Keywords to mirror

aisql

Platform: workday
Effort: long

Benefits

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Vision