PAlpinestars is the leading global performance motorsports apparel, protection and footwear manufacturer. For over 60 years the company has been providing the world’s best athletes and motorsports enthusiasts in the pursuit of performance excellence with the most technologically advanced products which fuse protection, performance, innovation and style. /ppThanks to the outstanding quality and continuous innovation of our products, we are currently going through a solid expansion phase on the global market, for which we aim to reinforce our strongly international teams with top talent from anywhere in the world. /ppstrongPosition /strong /ppWe are currently seeking an strongEnterprise Integration Architect /strong to help shape data and technology foundation at the base of our global digital transformation. You will design and implement a scalable enterprise data layer that connects systems across the company, enabling real-time insights and future-ready innovations such as AI and predictive analysis. /ppstrongKey Responsibilities /strong /pulliYou will design and document a scalable enterprise integration architecture connecting our ERP, DWH and other platforms. /liliYou will translate business concepts into data structures and models, ensuring data mapping standards and data consistency. /liliYou will lead the implementation of a real-time event-driven data infrastructure using modern messaging frameworks. /liliYou will conduct cross-functional workshops as well as providing technical guidance to the implementation teams. /liliYou will also coordinate system integration strategies across IT, operations and digital teams. /li /ulpstrongRequirements /strong /pulliA minimum of 5 years’ experience in enterprise architecture and / or industrial data integration. /liliStrong knowledge of event-driven and service-oriented architectures. /liliProficiency in data modelling, API design and modern messaging patterns. /liliPrevious experience in integrating ERP and enterprise systems in a manufacturing or consumer products context. /liliPrevious working knowledge of MS Azure Fabric (One Lake, Data Factory). /liliPrevious experience on relational Databases (i.e. MS SQL Server) and on using SQL. /liliSolid understanding of cross-functional business processes (i.e. Sales, Supply Chain, Operations, Finance, etc). /liliExcellent communication and documentation skills. /liliPrevious working experience with AI, Machine Learning, Data Innovation and / or on Graph Databases will be considered a strong plus. /li /ul #J-18808-Ljbffr