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Enterprise data architect

Dublin
Sitecore
Data architect
Posted: 23 December
Offer description

Description About Us: At Sitecore, our mission is to simplify how brands reach, engage, and serve people by delivering intelligent, personalised digital experiences that connect the world.
We empower the world's most iconic brands to build lifelong relationships with their customers—seamlessly, smartly, and at scale.
As the leading provider of agentic digital experience software, Sitecore brings together content, commerce, and data into one composable platform that enables brands to deliver millions of meaningful, adaptive experiences every day.
Trusted by global leaders such as American Express, Porsche, Starbucks, and L'Oréal, Sitecore helps brands transform engagement through experiences that are not only personalised but predictive and dynamic.
Our foundation is our people—a diverse, passionate, and collaborative global team spanning over 25 countries.
We believe that every experience matters, and that belief starts with how we work together.
guide how we lead, innovate, and connect.
They are the behaviours that bring our mission and vision to life, every day, in every interaction.
As we continue to evolve, we are actively cultivating AI skills across our teams to unlock new levels of creativity, efficiency, and insight.
From engineering to customer experience, AI capabilities are becoming integral to how we design, build, and deliver the next generation of digital experiences.
Learn more at .
About the role: You will be responsible for designing and scaling Sitecore's enterprise data architecture framework, with a primary focus on establishing a robust, adaptable, and future-ready data foundation.
This role will manage the definition and implementation of Sitecore's master data model that powers agentic AI, self-service analytics, and data science ensuring efficient system performance, scalability, security, and data quality.
This role requires deep expertise in conceptual, logical, and physical data modelling, alongside establishing robust Metadata and Cloud Integration standards (e.g., Fabric) to ensure the technical integrity of our data foundation.
What You'll Do Data Architecture

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