My client is looking for a Data Architect to join a newly established AI Lab. This is a key role responsible for designing the data architecture, platforms and foundations that will enable the bank to scale AI, analytics and data-driven products.
The ideal candidate will be a strong Azure-focused Data Architect with deep hands‑on experience designing modern enterprise data platforms and a solid understanding of how data architecture needs to support AI, machine learning, analytics and GenAI workloads.
Key Responsibilities- Define and own the enterprise data architecture supporting AI, analytics and data products.
- Design scalable, secure and high-performance Azure data platforms and architectures.
- Develop modern data lake, lakehouse and data warehouse architectures.
- Define data ingestion, integration, transformation, storage and consumption patterns across the organisation.
- Work closely with Data Engineers, Data Scientists, AI Engineers, Software Engineers and Product teams to ensure data platforms support production AI use cases.
- Establish standards for data modelling, data governance, data quality, metadata, lineage and security.
- Design architectures supporting both structured and unstructured data, including data required for GenAI and RAG applications.
- Provide architectural direction across real-time, batch and streaming data workloads.
- Assess emerging Azure and data technologies and determine their suitability for enterprise adoption.
- Ensure architecture meets banking requirements around security, privacy, regulatory compliance, resilience and scalability.
- Help establish the technical foundations and standards for the new AI Lab.
Strong experience across the Microsoft Azure data ecosystem is essential, ideally including:
- Microsoft Fabric and/or modern lakehouse architectures
- Azure Event Hubs / streaming technologies
- Azure security, networking and identity services
- Azure AI / Azure OpenAI and data architectures supporting GenAI and RAG
- 10+ years' experience across Data Architecture, Data Engineering or Enterprise Data Platforms.
- Deep practical experience with Azure data technologies and cloud-native architecture.
- Strong understanding of data lakehouse, data warehouse, data mesh and modern data platform patterns.
- Experience with large-scale data integration, ETL/ELT, batch and streaming architectures.
- Strong knowledge of data modelling, governance, lineage, quality and security.
- Experience designing data platforms to support AI/ML and GenAI workloads.
- Strong understanding of cloud architecture, APIs, microservices and distributed systems.
- Experience with in banking, financial services, fintech or another highly regulated environment would be highly advantageous.
- Strong communication skills and the ability to work with both senior stakeholders and highly technical engineering teams.
My client is looking for a hands‑on, technically credible Data Architect, rather than someone purely focused on governance or high-level documentation.
The strongest candidates will have a deep Azure technical foundation, have personally designed modern data platforms at scale, and understand how to build the data foundations required to support AI, analytics and GenAI in a banking environment.
This is an opportunity to join the AI Lab at an early stage and play a significant role in defining the data architecture and technology standards that will underpin its future AI capabilities
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