AI & Data Architect

Salary: £66,500 - 91,000 per year

Requirements:

• Experience in analysing requirements for data solution design and data modelling (e.g. from conceptual to physical).
• Experience in data manipulation, analysis and reporting of insights from large datasets using tools such as SQL, Python or R.
• Good understanding of key components of end-to-end data solutions, including data quality, master data management, reference data, reporting and visualisation, AI, analytics and self-service business intelligence.
• Ability to work independently, think strategically and solve problems, identifying opportunities for innovation and growth while maintaining a focus on delivering high-quality solutions.
• Exceptional time management skills to manage competing priorities across client service, practice development, and business development responsibilities.
• Business analysis skills and experience such as requirements definition, information gathering, discovery and/or specification development.
• Ability to manage stakeholders using clear communications and build strong client relationships.
• Demonstrated ability to collaborate with and potentially manage workloads of on-shore and off-shore development teams, ensuring alignment and timely delivery of high-quality AI and data solutions.
• Experience in data solution architecture and data management frameworks, such as establishing design principles and defining solution patterns while following architecture methodologies.
• Experience and/or certifications in cloud data platform solutions such as AWS, Azure, GCP, Snowflake, or Databricks to design and deliver enterprise data solutions, including toolset selection, effort and cost estimation.
• Broad knowledge across cloud architecture, DevOps, networking, machine learning, and security.
• Experience and knowledge of delivering innovative enterprise data management frameworks such as Data Mesh and Data Vault.
• Good understanding of data and information governance principles and familiarity with processes and policies for key vendor platforms such as Collibra and Informatica.
• Experience with Management Information / BI reporting delivery processes.
• Experience supporting the growth and development of junior team members through formal team management responsibilities or informal mentoring.

Responsibilities:

• Work with senior architect(s) in defining and designing end-to-end architectures for AI and data solutions that support client business needs and strategic objectives.
• Develop solution proof of concepts to demonstrate the business value of proposed AI and data solutions.
• Work with client stakeholders to define a common language for data so information can be interpreted and used consistently and efficiently.
• Contribute to assessing the as-is solution and suggesting target solution architectures leveraging expertise in Data & AI/Analytics tools and cloud technologies.
• Support the creation of strategic roadmaps for Data & AI capabilities required to support client AI ambition.
• Contribute to client project delivery by owning one or more deliverables and ensuring commercially successful conclusion of client engagements.
• Work with on-shore and off-shore development teams, potentially managing workloads, facilitating communication, and ensuring alignment to meet project deadlines within an Agile environment.
• Continue developing architecture skills through on-the-job training and formal development programmes.

Technologies:

• AI
• AWS
• Architect
• Azure
• Business Intelligence
• Cloud
• Data Vault
• Databricks
• DevOps
• GCP
• Informatica
• Support
• Machine Learning
• Python
• SQL
• Security
• Snowflake

More:

We are Deloitte, within our Technology and Transformation business line and our Engineering, AI and Data team. We help clients tackle some of the biggest AI and data challenges, build trusted stakeholder relationships, and create data-driven programmes that transform organisations. This role is based in London or Manchester with hybrid working, giving you the opportunity to work across local offices, virtual collaboration spaces, client sites and remotely. We offer a culture built on our shared values of integrity, inclusion, collaboration and measurable impact, along with a strong commitment to wellbeing, flexible working and ongoing professional development.

last updated 36 week of 2026