Enterprise Data Architect

The Enterprise Data Architect is responsible for establishing and advancing HOYA Vision Care's enterprise data architecture strategy, governance framework, and data management capabilities. This role provides architectural leadership across Data Governance, Master Data Management (MDM), Data Warehousing, Data Fabric, Data Integration, Analytics, and Information Architecture.

What You Will Do

The Enterprise Data Architect will define and evolve the enterprise data strategy, develop multi-year roadmaps and target-state architectures, drive improvements in data quality, accessibility, consistency, and business value, and enable advanced analytics, machine learning, Generative AI, Agentic AI, data products, semantic models, metadata management, and knowledge architecture.

Why It Might Be a Fit

The ideal candidate will have 8+ years of experience in Data Architecture, Enterprise Architecture, Information Architecture, Data Management, or related disciplines, and a strong understanding of modern data architecture concepts including Data Warehousing, Data Lakes, Data Fabric, API-based integration, event-driven architecture, governance, and analytics platforms.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, or related discipline.
• 8+ years of experience in Data Architecture, Enterprise Architecture, Information Architecture, Data Management, or related disciplines.
• Demonstrated experience developing enterprise data strategies and roadmaps.
• Experience leading Data Governance, MDM, Data Warehouse, or enterprise data transformation initiatives.
• Strong understanding of modern data architecture concepts including Data Warehousing, Data Lakes, Data Fabric, API-based integration, event-driven architecture, governance, and analytics platforms.
• Experience facilitating architecture governance and architecture review processes.
• Excellent communication, stakeholder management, and facilitation skills.
• Demonstrated ability to influence organizational decisions without direct authority.
• Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations.
• Ability to write reports, business correspondence, and procedure manuals.
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
• Experience establishing or maturing a Data Architecture practice.
• Experience in manufacturing, supply chain, distribution, or global enterprise environments.
• Experience enabling analytics, machine learning, Generative AI, or knowledge-driven solutions through enterprise data architecture, metadata, lineage, and governance capabilities.
• Experience with Microsoft Azure data services and modern cloud data platforms.
• Familiarity with LeanIX and enterprise architecture repositories.
• Certifications such as CDMP, TOGAF, Microsoft Azure Data certifications, or equivalent.

Benefits

• Competitive salary
• Benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance