Senior Data Architect for AI & Real-Time Modernisation

IntaPeople Limited; Greater London; Hybrid; GBP 129,000 - 134,000; Full time

Job summary

IntaPeople Limited is seeking a Senior Data Architect for a 12-month contract, hybrid work with 2 days per week in Heathrow/London area. You will lead data modernisation across a large data estate and design architectures to support AI, real-time analytics and scalable deployment.

You will collaborate with Product, Data, Engineering and Data Science teams to ensure data and AI models are operable at scale while embedding privacy and governance across architecture decisions.

Qualifications

• Proven experience as an Enterprise Data Architect or Data Architect.
• Experience leading data modernization or transformation programmes.
• Strong understanding of enterprise data architecture, integration and data platforms.

Responsibilities

• Lead data modernisation across a large and complex data estate.
• Design architectures that support AI, analytics and predictive modelling.
• Define architectures for real-time data ingestion, processing and analytics.
• Collaborate with Data Engineering and Data Science to operationalise data and AI models at scale.
• Improve data interoperability, integration and data flow across the organisation.
• Document data lineage, metadata and architectural standards.
• Build privacy and responsible AI considerations into data architecture.
• Influence senior stakeholders and explain architecture in business terms.
• Balance long-term architecture with delivery needs.
• Shape data architecture to support AI, LLMs and ecosystem integration.

Skills

Data modernization

Enterprise architecture

AI & analytics

Real-time data

Data governance

Stakeholder influence

Delivery focus

Job description

IntaPeople Limited is seeking a Senior Data Architect for a 12-month contract, hybrid work with 2 days per week in Heathrow/London area. You will lead data modernisation across a large data estate and design architectures to support AI, real-time analytics and scalable deployment.

You will collaborate with Product, Data, Engineering and Data Science teams to ensure data and AI models are operable at scale while embedding privacy and governance across architecture decisions.