Analytics & AI (Enterprise Architect - Data & AI)

Strong knowledge of cloud database technologies, distributed systems, and scalable data workload architecture, including real-time streaming.

• Understanding of modern enterprise data platforms, data sourcing patterns and constraints, ETL/ELT patterns, and data modelling techniques.
• Solid grounding in enterprise data management best practices within regulated enterprise environments.
• Experience designing scalable, cloud-native data architectures on platforms such as Azure and GCP.
• Ability to translate complex architectures into reusable enterprise design patterns.
• Skilled at comprehending complex technology estates.
• Excellent stakeholder management and consultative skills.
• High adaptability in dynamic environments.

Nice to Have:

• Exposure to AI applications and understanding their impact on data demand and platform delivery.
• Experience with automation in data management, including knowledge of Data Contracts.
• Familiarity with data management and governance technologies (e.g., Collibra, Dataplex, Purview, Ataccama).
• Experience with Master and Reference Data Management best practices.
• Hands-on experience with the delivery of real-time data patterns.