AI-Ready Engineering Data Architect

Hitachi; Łódź; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Fitness programs

Benefits platform

Employee Capital Plans (PPK)

Home office equipment

Eyewear allowance

Company events

Wellbeing support

Job summary

Hitachi Energy Poland is seeking an Engineering Data Architect to define and evolve the data architecture foundation across global engineering platforms, analytics, and AI initiatives. The role blends data architecture, governance, platform integration, and AI-ready data products to boost engineering productivity and platform adoption.

You will work with engineers, platform owners, and analytics teams to translate business needs into scalable data solutions, ensuring security, compliance, and

Qualifications

• Master’s degree in CS, IS, or related field.
• 5+ years in data/enterprise/solution architecture or data engineering.
• Experience with large data models and data platforms.
• Experience with governance, metadata management, security, privacy, and compliance.

Responsibilities

• Define and maintain the data architecture roadmap for Engineering Platforms.
• Design canonical data models related to products, processes, systems, and digital twins.
• Establish integration architecture patterns, APIs, and data exchange mechanisms.
• Create a trusted data foundation for analytics, reporting, and AI-ready data products.
• Define governance, metadata, lineage, privacy, and security standards.
• Enable AI/Generative AI use cases with semantic models and data products.

Skills

Data architecture

Enterprise architecture

Data governance

AI data readiness

Cloud data platforms

Integration patterns

Stakeholder management

Architecture leadership

Education

Master’s degree in Computer Science

Job description

Hitachi Energy Poland is seeking an Engineering Data Architect to define and evolve the data architecture foundation across global engineering platforms, analytics, and AI initiatives. The role blends data architecture, governance, platform integration, and AI-ready data products to boost engineering productivity and platform adoption.

You will work with engineers, platform owners, and analytics teams to translate business needs into scalable data solutions, ensuring security, compliance, and