Remote-Ready Data Architect for Engineering Platforms & AI

Hitachi, Ltd.; Łódź; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Fitness programs

Benefits platform

PPK

WFH equipment allowance

Eyewear allowance

Team events

Psychological support

Job summary

Hitachi Energy seeks an 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, platform knowledge, integration patterns, governance, and AI data readiness to enable trusted, scalable data capabilities across the engineering ecosystem.

Qualifications

• Master’s degree in a related field and 5+ years in data/enterprise architecture or data engineering.
• Experience designing large data models, data lakes/warehouses, and data products.
• Strong knowledge of PLM, ERP, cloud data platforms, and analytics technologies.
• Experience with governance, metadata, data quality, security, and lifecycle management.
• Proven ability to lead stakeholders and drive architecture decisions.

Responsibilities

• Define and maintain the data architecture roadmap for Engineering Platforms.
• Design canonical data models for products, processes, and systems.
• Establish integration patterns, APIs, event models, and data services.
• Create a trusted data foundation for engineering analytics and reporting.
• Define governance standards for data ownership, lineage, privacy, and compliance.
• Enable AI-ready data products and retrieval-augmented generation patterns.

Skills

Data architecture

Enterprise architecture

Data governance

Cloud platforms

Integration patterns

AI data readiness

Education

Master’s degree

Tools

PLM

ERP

Engineering platforms

Job description

Hitachi Energy seeks an 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, platform knowledge, integration patterns, governance, and AI data readiness to enable trusted, scalable data capabilities across the engineering ecosystem.