Enterprise Data Architect

Búsqueda Avanzada
Barcelona, Spain
1 day ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Data Analysis Cloud Computing Data Architecture Data Governance Data Integration Microsoft Data Access Components Microsoft Software SAP Business Suiteing Enterprise Data Management Azure Data Factory Snowflake
+4 more
Data Strategy Microsoft Fabric Data Management Databricks

Job description

We’re urgently seeking an experienced Enterprise Data Architect to join a global chemical company. The role will focus on defining and shaping the company’s future data strategy and architecture, ensuring that the organisation has a scalable, modern and future-proof foundation for data, BI and AI. You will work at a conceptual and strategic level, assessing the existing data landscape and helping determine the right technologies, architecture and approach for the future., + Define and shape the organisation’s enterprise data strategy, aligned with wider business and technology objectives.

  • Develop a future-proof data architecture capable of supporting current and future business requirements.
  • Evaluate technologies such as Snowflake, Databricks, Microsoft Fabric, SAP Business Data Cloud (BDC) and the wider Microsoft data ecosystem.
  • Provide architectural guidance around Master Data Management (MDM) and help establish an appropriate future-state approach.
  • Consider how AI and emerging data technologies can be incorporated into the future data architecture, particularly within the Microsoft technology ecosystem.
  • Act as a data evangelist, helping the business understand the value of high-quality, accessible and well-governed data.

Requirements

  • You have extensive experience as an Enterprise Data Architect, Data Architect or similar senior data architecture role.
  • You have successfully designed and implemented enterprise-scale data architectures across multiple technology environments.
  • Strong knowledge of one or more of Microsoft Fabric, Azure data technologies, Databricks, Snowflake or SAP Business Data Cloud.
  • Understanding of modern Data & BI architectures, including data platforms, data integration, data governance and analytics.
  • Assess existing architecture, identify gaps and define a clear future-state architecture and roadmap.
  • Ability to communicate complex data and architecture concepts effectively to both technical and non-technical stakeholders.
  • Fluency in English

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