Engineering Data Architect

Your responsibilities

• 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.

Our requirements

• 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.

The opportunity:

What we offer

• 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​

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• remote work opportunities
• flexible working time
• coffee / tea
• drinks
• parking space for employees
• extra social benefits
• sharing the costs of tickets to the movies, theater
• christmas gifts
• employee referral program

Hitachi Energy Poland Sp. z o.o.