Data Architect
We offer you an Ocean of Possibilities. Join our family.What we’re made of.We’re made for ships. To design them, build them, finance them and care for them throughout their life. Defined by our values of stewardship, craftsmanship, fellowship and entrepreneurship, we’re everything ship. We’re on a mission to help our clients harvest the oceans of possibilities presented by our waters – for the generations to come. To achieve our goal, we need people who share our vision and drive.ABOUT USWithin Damen, Damen Data Services (DDS) is the driving force behind our digital transformation. Our mission is to create business value through data by enabling smarter collaboration between colleagues, yards, customers, and partners. We are on a journey towards a ‘Human-led, Data-powered’ organization.THE ROLEAs a Data Architect, you are the critical link between business needs and technical realization. You design the foundation of Damen’s data landscape — and actively help build it.You operate in a pragmatic environment where strategy and execution go hand in hand. You translate business requirements into scalable and future-proof data solutions, while taking ownership to ensure they are implemented in practice.You work closely with Data Owners, Data Stewards, Data Engineers, and Business and Enterprise Architects to increase the maturity of our data organization step by step.You leverage frameworks such as DAMA-DMBOK and TOGAF, but always apply them in a pragmatic and value-driven way that fits Damen’s way of working.This is not an “ivory tower” role — you are expected to be hands-on, contributing directly to solutions and guiding teams in making the right architectural choices.KEY RESPONSIBILITIESDesign, Realize and Govern the Data Management ArchitectureDevelop and realize Damen’s data management architecture and data platform vision with the business and enterprise architects, ensuring that data models, standards and frameworks are aligned with business strategy, processes and technology choices.Design and maintain conceptual, logical and physical data models that visualize relationships between key data entities.Develop data strategies that define how Damen collects, stores, integrates, governs and uses data.Create and apply enterprise-wide data model frameworks, standards and principles to ensure consistency, quality, security and reusability across domains and systems.Translate architectural direction into actionable designs and actively support implementation in projects and teams.Apply DAMA-DMBOK and TOGAF principles and translate them into practical, actionable solutionsAdvice how AI can be utilized in an organization (e.g., business and data processes) that is growing in its data maturityDrive Data MaturityHelp transition Damen towards a more data-driven organizationIntroduce pragmatic improvements instead of theoretical perfectionIdentify and resolve bottlenecks in data flows, structures, and usageBalance long-term architectural vision wit...