Dentsuaegis · Belgrade, SerbiaPrepare for this interview
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Job Description: We Dream. We Do. We Deliver. At Merkle, a dentsu company, we power the experience economy. Whether we're building the next great app, running CRM at scale for global brands, delivering technology architectures that support millions of users, or providing world-class data, identity, and insights solutions, it's all in the name of crafting experiences that set brands apart from the competition. Backed by dentsu's legacy of innovation and creativity originating in Japan, we've spent over 35 years helping brands build loyalty, drive growth, and connect meaningfully with their audiences. We've been named a global "Leader" by top industry analyst firms in categories as wide-ranging as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. We are looking for someone able to: Assist in the design and implementation of data architecture. As data architect you will work closely with b usiness s takeholders, b usiness a nalysts and d ata e ngineers to implement the different levels of data models. Provide thought leadership and drive architecture of e nterprise a nalytics platforms , customer platforms, and other solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure /GCP , BI platforms like Fabric and Snowflake . Work with various data stakeholders to understand the respective requirements in terms of functionality and the use of data concepts Translate business goals and use cases into technical solutions to deliver actionable insights for various business processes, especially in the area of sales, finance, e-commerce, manufacturing/ logistics , banking or CRM. Become the technical SPoC for all stakeholders , including C-level executives . Helping business/data analysts in the definition of specifications and define data mappings Apply effective governance methods for long-term scalability, high availability, fault tolerance, and solution elasticity in alignment with enterprise architecture, security and infrastructure guidelines and standards. Provide supervision and guidance to the implementation team (data engineers, data scientists, BI consultants, .. ) to ensure the project is implemented as per business requirements Support pre-sales by proposing a technical solution and effort estimates
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