{"id":50952,"url":"https://alion.io/job/hitachi-engineering-data-architect","title":"Engineering Data Architect","company":{"id":129,"name":"Hitachi","domain":"hitachi.com","url":"https://alion.io/company/hitachi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":428,"ghost_share":0.002,"stale_share":0.675,"repost_share":0.021,"time_to_fill_p50_days":17,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Łódź, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":117000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Digital Twin","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false}],"status":"live","first_seen_at":"2026-08-11T00:00:00Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-30T17:37:39Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"Location:\nLodz, Lodz, PolandJob ID:\nR0137511Date Posted:\n2026-08-11Company Name:\nHITACHI ENERGY POLAND SP. Z O.O.Profession (Job Category):\nIT, Telecom & InternetJob Schedule:\nFull timeRemote:\nNoJob Description:\nOpportunity\nHitachi 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.\nThe successful candidate will work at the intersection of Engineering Platforms, Enterprise Architecture, Data Analytics & AI, and software delivery teams. 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.\nHow you will make an impact\nDefine and maintain the data architecture roadmap for Engineering Platforms, ensuring alignment with enterprise architecture, digital transformation, and data strategy principles.\nDesign canonical and reusable data models related to products, processes, systems, digital twins etc.\nEstablish 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.\nCreate a trusted data foundation for engineering analytics, executive reporting, platform observability, software delivery performance measurement, and value realization tracking.\nDefine data governance, ownership, stewardship, metadata, reference data, lineage, quality, privacy, security, and compliance standards for engineering and platform data.\nEnable 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.\nPartner 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.\nLead data architecture reviews for projects, demands, business cases, and change requests to ensure consistency, interoperability, reuse, compliance, and long-term platform sustainability.\nDrive continuous improvement of data quality, reporting automation, self-service analytics, and engineering intelligence capabilities across global engineering organizations.\nDevelop architecture standards, blueprints, decision records, reference architectures, and implementation guidance for data platforms, integrations, analytics, and AI-enabled engineering solutions.\nYour background\nMaster’s degree in Computer Science, Information Systems, Data Science, Software Engineering, Engineering, or a related discipline.\n5+ years of experience in data architecture, information architecture, enterprise architecture, solution architecture, data engineering, or related technology roles.\nExperience designing large data models, integration architectures, data platforms, data lakes, data warehouses, or data products in complex global organizations.\nSolid understanding of PLM, ERP, engineering platforms, software delivery ecosystems, cloud data platforms, analytics, and enterprise integration technologies.\nPractical experience with data governance, metadata management, master data management, data quality, security, privacy, compliance, and lifecycle management.\nExperience supporting AI, Machine Learning, Generative AI, semantic search, knowledge management, or advanced analytics initiatives with governed and trusted data foundations.\nExcellent stakeholder management, facilitation, communication, systems thinking, and architecture leadership skills.\nMore about us\nAt 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.\nOur benefits offering for this role generally includes:\nPrivate medical care and life insurance\nAccess to fitness and wellness programs\nAccess to benefits platform with discounts and perks\nEmployee Capital Plans (PPK)\nEquipment for working from home or allowances for setting up a workplace at home\nSpectacles and contact lenses allowance\nCompany events and team-building activities\nPsychological support program\nWe 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.*\n*Applicable only for Poland location align with local law regulations\nAccessibility and reasonable accommodation\nQualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing ageneral inquiry formon our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.\n\nThis is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.\n\nUse of Al and automated tools in recruitment\nAs part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well asHitachi's Global Data Privacy Notice.\nBackground Screening and Security Checks\nAs part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.\nFor certain roles-particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions-additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.\nThe scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. 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