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It data architect

Chesterfield
Fusion People
Data architect
Posted: 14h ago
Offer description

My client, a leading multinational, is looking for a Data Architect to play a critical role in designing evolving the global data landscape. 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 journey.


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 across Corporate Functions (IT, HR, Finance, Legal)
* 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.
* Enterprise Architecture tools e.g. LeanIX, Ardoq
* TOGAF and Azure Certification (strong nice to have)

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