Enterprise Data Architect (AI Data, MDM, Data Strategy)

My client, a leading multinational, is looking for an Enterprise Data Architect to play a critical role in designing and evolving the global data landscape and to establish the roadmap and transition for the data architecture future state. We need a true Data Architect, not a Solution Designer or Engineer but a Data Architect who knows how to ask the right questions, who understands ‘What is needed’, ‘Why it is needed’ and can produce the building blocks for the Solution Designers to bring to life and bring people on the data journey unlocking opportunities within data across the organisation.

The core focus of this role will be

• C-suite engagement and communication
• Enterprise data strategy and roadmap ownership

You will report to the Head of Data and be responsible for the following

• Drive and evolve the global Data Architecture roadmap in alignment with Enterprise and Data Architecture strategy
• Own the enterprise data model and establish data architecture patterns and standards for data modelling, integration, storage, and governance.
• Provide technical leadership across data platforms, pipelines, and analytics capabilities.
• Partner with data security and data governance to define frameworks, data classification, privacy, data governance ownership, stewardship
• Be the senior voice on data design decisions across major projects
• Champion data architecture and bring the organisation on the journey bridging gaps between different teams across Data Governance, Platforms and Product capabilities.

Skills & Experience

• Experience of Data Architecture and partnering with business leaders across Corporate Functions (IT, HR, Finance, Legal) to drive the data agenda and establish best in class data architecture.
• Essential experience in Azure Data Services to design target architecture for data platforms including Azure Data Lake, Synapse Analytics, Databricks, Data Factory, Azure Service Bus, Azure SQL and APIs)
• Essential experience in architecting data pipelines and data integration patterns
• ETL/ELT processes, and real-time streaming architectures.
• Master Data Management (e.g. Informatica, Profisee, SAP)
• AI data requirements would be beneficial as well as experience on Microsoft stack including Copilot
• Data modelling and dimensional modelling
• Experienced in BI / Analytics tools (Power BI, Tableau)
• Data integration patterns such as APIs, messaging (Service Bus), and ETL/ELT.
• TOGAF and Azure Certification (strong nice to have)

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