Job Title: Principal Enterprise Architect, Data & Analytics
Location: UK – London
Summary
As the Enterprise Architect – Data & Analytics, you will play a pivotal role in driving the organisation’s Data & Analytics (D&A) strategy and ensuring the successful design and implementation of scalable data architectures that support both analytics and AI across Azure and AWS environments. You will be responsible for ensuring that data platforms and AI models are integrated seamlessly into the technology stack, while fostering a culture of reusability, scalability, and innovation.
The ideal candidate will have technical expertise in both cloud-native and legacy data systems, with a proven ability to collaborate with cross-functional teams and deliver data-driven solutions that meet business needs.
Responsibilities
- Lead the design, implementation, and management of the organisation’s data architecture and analytics framework.
- Establish best practices for data modelling, data warehousing, and data governance.
- Lead the development and deployment of advanced analytics solutions, including predictive and prescriptive analytics.
- Lead efforts to modernize data systems, transitioning from on-prem legacy architectures to cloud-native data lakes, warehouses, and advanced analytics platforms.
- Collaborate with AI architecture leadership, data scientists, engineers, and business stakeholders to ensure that AI models and data platforms are aligned with business goals and deliver measurable outcomes.
- Foster a product engineering mindset within the data architecture and engineering teams, ensuring that data solutions are built with reusability, flexibility, and scalability in mind.
- Implement best practices for data governance, security, and compliance, ensuring that all data architectures meet regulatory requirements and protect sensitive information.
- Oversee the integration of DevOps practices into data pipelines and AI solution deployment, ensuring automation, efficiency, and continuous improvement across the data ecosystem.
- Communicate complex technical architectures and data strategies to senior leadership, ensuring alignment with broader enterprise architecture and business objectives.
Qualifications
- At least 10 years’ experience designing and architecting large-scale data solutions.
- Proven track record of designing and implementing enterprise-level data architecture solutions.
- Proven expertise in AWS and/or Azure services, Snowflake (or similar), relational databases, document stores, key-value stores, streaming and messaging systems, Lakehouse architecture, data warehouses, ETL pipelines, and AI/ML frameworks.
- Strong experience with AWS and/or Azure cloud-based data architectures, including data storage, processing, and AI integration.
- Expertise in data governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and legacy environments.
- Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.
- Master’s or PhD in Computer Science, Data Science, or a related field.
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