Enterprise Data Architect

Were urgently seeking an experienced Enterprise Data Architect to join a global chemical company. The role will focus on defining and shaping the companys 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.

Start date: ASAP
Duration: Initially 6 months
Location: Primarily remote with occasional onsite presence in Spain or Switzerland
Utilisation: Full-time

• Define and shape the organisations 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.

• 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