IT Support & Infrastructure
Data & AI Architect
Role in 30 seconds
- Salary
- Up to £100,000 per annum
- Location
- London or Manchester
- Workplace
- On-site
- Employment type
- Permanent
What you’ll actually do
- About the opportunity
- Whitestones Recruitment is recruiting a Data & AI Architect on behalf of a client. This opportunity focuses on designing data platforms and AI solutions that help organisations turn their data into practical business outcomes.
- The role combines technical architecture, stakeholder engagement and delivery oversight. You will translate business requirements into scalable solutions and work with engineering teams to guide their implementation.
What you must already know
Experience designing enterprise data and AI solutions; strong knowledge of Databricks, cloud data platforms, data engineering and data modelling; understanding of data governance, security and deploying AI workloads; ability to translate business requirements into technical architecture and communicate clearly with stakeholders.
Role overview
Whitestones Recruitment is recruiting a Data & AI Architect on behalf of a client, with opportunities in London or Manchester and a salary of up to £115,000.
The proposed role focuses on designing scalable data platforms and AI solutions, translating business requirements into technical architecture, and supporting engineering teams through delivery.
Responsibilities
- Define architecture for data and AI solutions, from initial requirements through to delivery.
- Design platforms that support data ingestion, transformation, storage, analytics and AI workloads.
- Translate business objectives into technical designs, architecture documentation and delivery roadmaps.
- Guide technology choices, considering performance, scalability, security and cost.
- Work with data engineers, data scientists and other technical teams to deliver integrated solutions.
- Establish standards for data quality, governance, access and platform reliability.
- Review proposed designs and help teams resolve technical challenges.
- Communicate architectural decisions and trade-offs clearly to technical and non-technical stakeholders.
- Assess new data and AI capabilities against practical business needs.
Essential requirements
- Experience designing enterprise data and AI solutions.
- Strong practical knowledge of Databricks and cloud data platforms.
- Experience with data engineering, data integration and data modelling.
- Understanding of data governance, security and access controls.
- Understanding of deploying and supporting AI and machine learning workloads.
- Ability to translate business requirements into technical architecture.
- Strong stakeholder communication and technical documentation skills.
Desirable experience
Helpful, but not required.
- Developing technical roadmaps for data platform modernisation.
- Guiding multidisciplinary engineering and analytics teams.
- Improving data platform performance, reliability and cost efficiency.
- Evaluating emerging AI technologies against business needs.
Job reference: WR-65C67D