Data Architect
Data Architect
- Develop and maintain enterprise-wide data architecture frameworks that are secure, scalable and aligned with organisational and regulatory requirements.
- Design logical and physical data models, data flows and integration patterns across platforms such as Microsoft Fabric, data lakes and data warehouses.
- Partner with analytics, engineering and business teams to ensure seamless data integration and the availability of high-quality, accessible data.
- Implement strong data governance and compliance practices, ensuring adherence to data protection, security and industry standards.
- Evaluate, recommend and support the adoption of modern data technologies and tools, including Microsoft Fabric, Power BI, Copilot and emerging AI/ML solutions.
- Lead data platform modernisation initiatives, including optimisation of existing environments and supporting transitions from legacy systems to cloud‑based solutions.
- Provide clear technical guidance to cross‑functional teams, translating complex data and AI concepts into actionable insights for a range of stakeholders.
- Monitor and optimise data systems to enhance performance, reliability, accuracy and operational efficiency.
- Support the integration of machine learning and AI solutions, ensuring ethical governance, ongoing monitoring and responsible deployment.
- Lead, develop and motivate a high‑performing data team, fostering an inclusive, collaborative and continuously improving culture.
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