Engineering Data Architect

Hitachi Energy

Łódź

On-site

PLN 250,000 - 380,000

Full time

14 days+

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Benefits offered by this job

Private medical care

Life insurance

Fitness programs

PPK

Home office setup allowance

Spectacles allowance

Team events

Psychological support

Job summary

Hitachi Energy is seeking an Engineering Data Architect to define, govern, and evolve the data architecture foundation for global engineering platforms, digital solutions, analytics, and AI-enabled initiatives. The role focuses on modern data models, platform integration, governed datasets and AI-ready data products to enhance productivity and value realization.

The candidate will lead architecture governance, establish data standards, and collaborate with platform owners, product managers and

Qualifications

Master’s degree in Computer Science, Information Systems, Data Science, Software Engineering or related field.
5+ years of experience in data architecture, information architecture, enterprise architecture or data engineering roles.
Experience designing large data models, data platforms, data lakes/warehouses or data products.

Responsibilities

Define and maintain the data architecture roadmap for Engineering Platforms and data governance.
Design canonical data models related to products, processes and systems.
Establish integration patterns, APIs and data services across engineering and cloud platforms.
Create a trusted data foundation for analytics, reporting, and AI readiness.
Lead data architecture reviews for projects to ensure interoperability and compliance.
Drive data quality, automated reporting and self-service analytics across global teams.
Develop standards, blueprints and implementation guidance for data platforms and AI-enabled solutions.

Skills

Data architecture

Enterprise architecture

Stakeholder management

Communication

Architecture leadership

Cloud data platforms

Data governance

Knowledge graphs

Education

Master’s degree in Computer Science

Tools

Cloud data platforms

Data governance tools

Metadata management tools

Job description

Opportunity Hitachi Energy is looking for a Engineering Data Architect to define, govern, and evolve the data architecture foundation for global engineering platforms, digital engineering solutions, analytics, and AI-enabled transformation initiatives. The role combines data architecture, engineering platform knowledge, integration architecture, data governance, and AI data readiness to enable trusted, scalable, and reusable data capabilities across the engineering ecosystem.

Opportunity Hitachi Energy is looking for a Engineering Data Architect to define, govern, and evolve the data architecture foundation for global engineering platforms, digital engineering solutions, analytics, and AI-enabled transformation initiatives. The role will translate business and engineering needs into modern data models, platform integration patterns, governed datasets, analytics capabilities, and AI-ready data products that improve engineering productivity, product lifecycle visibility, platform adoption, and business value realization.

How You Will Make An Impact

Define and maintain the data architecture roadmap for Engineering Platforms, ensuring alignment with enterprise architecture, digital transformation, and data strategy principles.
Design canonical and reusable data models related to products, processes, systems, digital twins etc.
Establish integration architecture patterns, APIs, event models, data exchange mechanisms, and data services connecting engineering landscape applications, cloud platforms, AI services, analytics platforms, and future digital engineering solutions.
Create a trusted data foundation for engineering analytics, executive reporting, platform observability, software delivery performance measurement, and value realization tracking.
Define data governance, ownership, stewardship, metadata, reference data, lineage, quality, privacy, security, and compliance standards for engineering and platform data.
Enable AI and Generative AI use cases by defining AI-ready data products, semantic models, retrieval-augmented generation patterns, knowledge graphs, vector search foundations, training datasets, and governed data access models.
Partner with platform owners, solution architects, product managers, business analysts, engineering leaders, and Data Analytics & AI teams to translate business requirements into scalable, secure, and maintainable data solutions.
Lead data architecture reviews for projects, demands, business cases, and change requests to ensure consistency, interoperability, reuse, compliance, and long-term platform sustainability.
Drive continuous improvement of data quality, reporting automation, self-service analytics, and engineering intelligence capabilities across global engineering organizations.
Develop architecture standards, blueprints, decision records, reference architectures, and implementation guidance for data platforms, integrations, analytics, and AI-enabled engineering solutions.

Your background

Master’s degree in Computer Science, Information Systems, Data Science, Software Engineering, Engineering, or a related discipline.
5+ years of experience in data architecture, information architecture, enterprise architecture, solution architecture, data engineering, or related technology roles.
Experience designing large data models, integration architectures, data platforms, data lakes, data warehouses, or data products in complex global organizations.
Solid understanding of PLM, ERP, engineering platforms, software delivery ecosystems, cloud data platforms, analytics, and enterprise integration technologies.
Practical experience with data governance, metadata management, master data management, data quality, security, privacy, compliance, and lifecycle management.
Experience supporting AI, Machine Learning, Generative AI, semantic search, knowledge management, or advanced analytics initiatives with governed and trusted data foundations.
Excellent stakeholder management, facilitation, communication, systems thinking, and architecture leadership skills.

More about us

At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives.

Our Benefits Offering For This Role Generally Includes

Private medical care and life insurance
Access to fitness and wellness programs
Access to benefits platform with discounts and perks
Employee Capital Plans (PPK)
Equipment for working from home or allowances for setting up a workplace at home
Spectacles and contact lenses allowance
Company events and team‑building activities
Psychological support program

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.*