Project – the aim you’ll have
Define and govern the end-to-end data architecture that enables a scalable, secure, and business-aligned data platform — ensuring that data engineering, analytics, ML, and API initiatives are built on a coherent, future-proof foundation.
Position – how you’ll contribute
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Define and own the end-to-end data architecture across lake, warehouse, and real-time streaming layers
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Establish architectural standards, design patterns, and best practices for all data domains
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Lead technology evaluation and selection for the cloud-native data platform stack
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Drive the long-term platform roadmap, including AI/ML readiness and data monetisation capabilities
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Design metadata management, data lineage, and access control frameworks in line with governance requirements
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Embed privacy-by-design, security, and compliance (including GDPR) at the architectural level
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Act as technical authority and design partner for Data Engineers, Data Scientists, and ML Engineers
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Represent data architecture in cross-functional forums, aligning platform decisions with business strategy