Enterprise Data Architect
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 worlds most iconic brands to build lifelong relationships with their customersseamlessly 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 LOréal Sitecore helps brands transform engagement through experiences that are not only personalised but predictive and dynamic.
Our foundation is our peoplea 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.Our valuesguide 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 .
About the role:
You will be responsible for designing and scaling Sitecores 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 Sitecores 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 Youll Do
- Data Architecture & AI:
- Design and maintain the overall enterprise data architecture to support Agentic AI enterprise reporting and advanced analytics initiatives.
- Deliver well-structured scalable governed and fit-for-purpose data models and supporting infrastructure.
- Modelling & Metadata:
- Establish and maintain enterprise data architecture standards including the design ofMaster Data Management and metadata frameworks.
- Create consistent definitions and robust metadata fostering a shared vocabulary for all critical data assets.
- Develop data dictionaries enriched with business context to improve usability.
- Data Governance & Quality:
- Establish data lineage for transparency and traceability of data flows.
- Ensure data quality by implementing processes for reliability accuracy and completeness throughout the data lifecycle.
- Define data retention and disposal processes in line with compliance and governance requirements.
- Integration & Sourcing:
- Plan and onboard new data sources ensuring integration and alignment with cloud architecture standards (e.g. into Fabric or similar platforms).
- Define the architectural standards for data integration and service layers (including APIs) to ensure scalable secure and reliable data flow between enterprise systems.
- Collaboration & Enablement:
- Collaborate with cross-functional teams and stakeholders to link underlying data sources resolve ambiguity in interpretation and provide key input into data solutions.
- Enhance data literacy across teams by promoting a shared consistent understanding of data assets and clearly defining the roles and responsibilities of Data Stewards.
What You Need to Succeed
- Experience:
- 8 years of experience in enterprise data architecture and data management roles within complex multi-stakeholder organisations with diverse data landscapes with proven expertise in data modelling governance and modern data platforms.
- Bachelors Degree or higher (preferably Computer Science Engineering or similar fields)
- Data Modelling:
- Deep expertise in data modelling (conceptual logical physical) across relational and dimensional architectures (e.g. star schemas) leveraging advanced knowledge of metadata management and data lineage tooling.
- Fluency designing and governing the full architectural documentation suite ensuring clear communication of data flows and systems at all levels from strategy to detailed implementation.
- AI and Analytics Enablement: Proven experience in designing and supporting data architectures that enable AI reporting and analytics use cases translating business requirements into technical data solutions.
- Platform & Cloud:
- Strong hands-on experience with Microsoft Fabric or similar modern data platforms (e.g. Databricks).
- Expertise in designing architecting and integrating enterprise-grade data solutions on cloud-native environments (Azure AWS or GCP).
- Data Management & Quality: Comprehensive understanding of data management best practices data quality frameworks and lifecycle management.
- Modern Data Paradigms: Proven expertise with modern data architecture paradigms such as data Lakehouse data mesh or event-driven architectures.
- Soft Skills:
- Excellent analytical and problem-solving skills enabling the accurate translation of complex business requirements into conceptual and detailed technology solutions.
- Strong communication and collaboration skills to drive alignment and shared understanding across technical and business teams.
- Ability to lead data literacy initiatives and data stewardship programs.
Additional Skills That Could Set You Apart
- Familiarity with Agentic AI concepts and applications particularly in how data architecture supports their development and deployment.
- Exposure to data security and data protection practices.
- Strong understanding of ETL/CI/CD processes and API gateway concepts.
Why You Should Click Apply:
- Sales and Customer Success are the key to our success! We are tapping into an exciting $30B market opportunity that is still very much in its infancy and feel its never been a better time to join Sitecore as we look to grow by 30% YoY. Growth for us means growth for you and your career.
- Great team and company culture! You can find out more about our company culture in the Sales and Customer Success team and our commitment to creating a diverse and inclusive workplace on our YouTube Channel. Thanks to the work of every employee globally Sitecore has been recognised for award-winning Culture by Comparably.
Sitecore is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without unlawful regard to race colour ancestry religion gender national origin sexual orientation age citizenship marital status disability veteran status or any other local legally protected characteristic.
Required Experience:
Staff IC
Key Skills
- SAP BusinessObjects
- Enterprise Architecture
- Hybris
- SAP HANA
- SAP
- TOGAF
- Solution Architecture
- Cloud Architecture
- SAP BW 4HANA
- Salesforce
- SAP S/4HANA
- SAP ERP
About Company
Sitecore connects content, data, and personalization in one AI-powered platform. Move faster, work smarter, and create experiences that redefine what’s possible.
