Engineering Data Architect for AI-Ready Data Platforms

Hitachi Automotive Systems Americas, Inc.

Łódź

On-site

PLN 180,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Private medical care and lifeinsurance
Fitness and wellness programs
Benefits platform with discounts and (
Employee Capital Plans (PPK)
Equipment for working from home or set
Spectacles and contact lenses
Company events and team‑building
Psychological support program

Job summary

Hitachi Energy Poland SP. Z O.O.

is seeking an Engineering Data Architect to define, govern, and evolve the data architecture foundation for global engineering platforms, 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 data capabilities across the engineering ecosystem.

Qualifications

  • 5+ years of experience in data architecture and related technology roles.
  • Experience designing large data models, integration architectures, data platforms, or data products.
  • Strong understanding of governance, metadata, security, and lifecycle management.

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 patterns, APIs, and data services across cloud platforms and analytics tools.
  • Create a trusted data foundation for analytics, reporting, and AI readiness.
  • Lead governance, ownership, metadata, lineage, and privacy standards for engineering data.

Skills

Data architecture
Enterprise architecture
Data governance
Metadata management
Cloud data platforms

Education

Master’s degree
Related discipline

Job description

Hitachi Energy Poland SP. Z O.O.

is seeking an Engineering Data Architect to define, govern, and evolve the data architecture foundation for global engineering platforms, 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 data capabilities across the engineering ecosystem.

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