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 27th Tuesday
October 2026 
Job-Id: 52911

Senior Consultant - Data & AI Architecture

Deerfoot Recruitment Solutions Limited
Industry Type
Architecture, Interior Designing
Functional Area
Architecture, Interior Design
Nationality
Any
Keywords
1 Cloud Transformation Leadership 2 Artificial Intelligence Solution Development
Job Description

Deerfoot Recruitment Solutions Limited is seeking a Senior Consultant in Data & AI Architecture based in Cambridge, United Kingdom. The role involves designing scalable and secure data, analytics, and AI architectures and leading cloud transformation projects across AWS, Azure, and GCP. The consultant will also develop AI-enabled solutions and prototypes that provide business value.

Position
Senior Consultant - Data & AI Architecture
Company
Deerfoot Recruitment Solutions Limited
Location
Cambridge, United Kingdom
Industry
Architecture, Interior Designing
Functional area
Architecture, Interior Design
Experience
1 to 20 years

Responsibilities

  • Design scalable, secure, and cost-effective data, analytics, and artificial intelligence architectures.
  • Lead cloud transformation initiatives across AWS, Azure, and GCP environments.
  • Develop AI-enabled solutions, Proofs of Concept, and Minimum Viable Products (MVPs) that deliver measurable business value.
Show the original advert
Key Responsibilities Include: 1. Designing scalable, secure, and cost-effective data, analytics, and artificial intelligence architectures. 2. Leading cloud transformation initiatives across AWS, Azure, and GCP environments. 3. Developing AI-enabled solutions, Proofs of Concept, and Minimum Viable Products (MVPs) that deliver measurable business value. Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are preferred. 2. Proven experience as a Cloud Architect or similar role within the Architecture or Interior Designing industry. 3. Expertise in cloud services such as AWS, Azure, and GCP. 4. Strong understanding of data analytics, artificial intelligence, machine learning, and big data technologies. 5. Excellent problem-solving skills and ability to manage multiple projects simultaneously. 6. Outstanding communication and team leadership abilities. 7. Proficient in various programming languages such as Python, Java, and SQL. 8. Certifications like AWS Solutions Architect, Azure Solutions Architect, or Google Professional Cloud Architect are preferred but not required.

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About the role: Senior Consultant - Data & AI Architecture

General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.

Senior Consultants in Data & AI Architecture design and implement advanced data systems and artificial intelligence solutions to support business needs. They typically work in consulting firms, technology companies, or within the IT departments of various industries, helping organizations leverage data and AI technologies effectively.

What this role usually involves

  • Develop and oversee data architecture and AI strategy aligned with business goals.
  • Design scalable data models and AI frameworks for complex projects.
  • Collaborate with stakeholders to understand requirements and translate them into technical solutions.
  • Guide and mentor junior team members on data and AI best practices.
  • Evaluate and select appropriate technologies and tools for data and AI implementations.
  • Ensure data security, quality, and compliance within AI systems.

Skills employers usually look for

  • Strong knowledge of data architecture and AI technologies.
  • Proficiency in data modeling and machine learning concepts.
  • Ability to analyze complex business problems and design technical solutions.
  • Good communication and stakeholder management skills.
  • Experience with cloud platforms and big data tools.
  • Leadership and project management capabilities.

Usual qualifications

  • A degree in computer science, information technology, or a related field.
  • Professional certifications in data architecture or AI are advantageous.
  • Experience with programming languages such as Python, SQL, or similar.
  • Continuous learning in emerging AI and data technologies.

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