Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote

Job Description

Data & AI Architect, Azure AI Services, PaaS, ETL, Data Modelling, Remote

Data & AI Architect / Microsoft Stack / Azure required to work for a fast-growing Enterprise business based in Central London. However, this will be a remote role and you may have the odd meeting in London, along with some global travel (all expenses paid).

This role will be working at the forefront of AI and we need this candidate to not only have the Data Architecture experience within a Microsoft Stack environment, but we need you to have done some relevant AI solution designing too. We need you to understand Data, the Data Concepts, Natural Intelligence, the Deployment of off the shelf technologies etc. Ultimately, we need you to be passionate about Microsoft Technologies, AI and Data! Read on for more details.

Role responsibilities:

1. Tertiary qualifications in Information Technology, Data Science, AI, or related fields; qualifications in Architecture and Project Management are desirable.
2. A minimum of three (3) years in a senior technical role focused on data and AI, such as technical lead, team lead, or architect.
3. Knowledge of Enterprise Architecture methodologies, such as TOGAF, with a focus on data and AI.
4. Experience in assessing data and AI solutions, particularly in Business Intelligence and Data Analytics.
5. Excellent communication skills to explain data and AI concepts to non-technical audiences. Fluency in English; other languages are a plus.
6. Strong planning and organizational skills, with the ability to communicate across various levels of stakeholders.
7. Self-starter with the ability to prioritize and plan complex data and AI work in a rapidly changing environment.
8. Results-oriented with the ability to deliver data and AI solutions that provide organizational benefits.
9. Strong critical thinker with problem-solving aptitude in data and AI contexts.
10. Team player with experience leading cross-functional teams to deliver data and AI solutions.
11. Ability to develop data and AI architecture designs; experience with Service-Oriented Architectures (SOA) and AI frameworks.
12. Available to work flexible hours, with strong collaboration, communication, and business relationship skills.
13. Expert skill level experience with the following technologies:

• Azure AI Services
• Azure PaaS Data Services
• Object Oriented Analysis and Design
• CI/CD and source control
• ETL techniques and principles
• Data modelling
• Master Data Management
• Data Visualization

Experienced in building Microsoft AI Services and reporting and analytics solutions in the Microsoft Azure ecosystem.

This is a great opportunity and salary is dependent upon experience. Apply now for more details.

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