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As the Data Architect you will design and implement scalable data architectures that support our AI products and analytics capabilities, ensuring optimal performance, reliability, and cost-efficiency across all platforms.
Job Responsibility:
Design and implement data architectures for new products and capabilities, ensuring scalability, reliability and performance
Create technical blueprints for data flows, storage patterns and processing pipelines that meet business needs
Evaluate and recommend technology choices that balance performance, cost and future scalability
Establish and embed data modelling standards and best practices across engineering teams
Optimise existing architectures to improve efficiency, cost effectiveness and resilience
Partner with product teams to translate requirements into clear architectural solutions
Document architectural decisions and maintain an up-to-date technical design repository
Provide architectural guidance and support to engineering teams during implementation
Collaborate with enterprise architecture and platform teams to agree hand-offs and ensure alignment
Requirements:
Proven experience designing enterprise-scale data architectures in a complex environment
Expertise in modern data platforms including Snowflake, Databricks and leading cloud services
Strong understanding of event-driven architectures and real-time data processing
Experience applying data modelling techniques to both analytical and operational systems
Degree in Computer Science, Engineering or a related field
Nice to have:
Cloud architecture certifications (Azure or GCP) are beneficial
Certifications in modern data platforms are desirable
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