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- Tasks: Design and implement data and AI solutions using Microsoft Azure technologies.
- Company: Join a fast-growing enterprise based in Central London, embracing remote work culture.
- Benefits: Enjoy remote work flexibility, global travel opportunities, and all expenses covered.
- Why this job: Be at the forefront of AI innovation while collaborating with diverse teams.
- Qualifications: Tertiary qualifications in IT or Data Science; 3+ years in a senior data/AI role required.
- Other info: Passion for Microsoft technologies and AI is essential; strong communication skills are a must.
The predicted salary is between 43200 - 72000 £ per year.
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 Language Intelligence, the Deployment of off the shelf technologies etc. Ultimately, we need you to be passionate about Microsoft Technologies, AI and Data!
Role responsibilities:
- Tertiary qualifications in Information Technology, Data Science, AI, or related fields; qualifications in Architecture and Project Management are desirable.
- A minimum of three (3) years in a senior technical role focused on data and AI, such as technical lead, team lead, or architect.
- Knowledge of Enterprise Architecture methodologies, such as TOGAF, with a focus on data and AI.
- Experience in assessing data and AI solutions, particularly in Business Intelligence and Data Analytics.
- Excellent communication skills to explain data and AI concepts to non-technical audiences.
- Fluency in English; other languages are a plus.
- Strong planning and organizational skills, with the ability to communicate across various levels of stakeholders.
- Self-starter with the ability to prioritize and plan complex data and AI work in a rapidly changing environment.
- Results-oriented with the ability to deliver data and AI solutions that provide organizational benefits.
- Strong critical thinker with problem-solving aptitude in data and AI contexts.
- Team player with experience leading cross-functional teams to deliver data and AI solutions.
- Ability to develop data and AI architecture designs; experience with Service-Oriented Architectures (SOA) and AI frameworks.
- Available to work flexible hours, with strong collaboration, communication, and business relationship skills.
- 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
This is a great opportunity and salary is dependent upon experience. Apply now for more details.
Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote employer: Carrington Recruitment Solutions Ltd
Contact Detail:
Carrington Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote
✨Tip Number 1
Familiarise yourself with the latest Azure AI Services and PaaS offerings. Being well-versed in these technologies will not only boost your confidence but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the data and AI space, especially those who work with Microsoft technologies. Engaging in relevant online communities or attending industry events can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your experience with data architecture and AI solution design in detail. Be ready to share specific examples of projects you've led or contributed to, highlighting your problem-solving skills and results achieved.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex data and AI concepts in simple terms. This is crucial for the role, as you'll need to convey technical information to non-technical stakeholders effectively.
We think you need these skills to ace Data & AI Architect, Microsoft Azure, PaaS, ETL, Data Modelling Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure, AI services, and data architecture. Use specific examples that demonstrate your skills in ETL, data modelling, and any relevant projects you've led.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Microsoft technologies and AI. Mention how your background aligns with the role's requirements and provide insights into your problem-solving abilities in data contexts.
Showcase Relevant Experience: When detailing your work history, focus on roles where you have acted as a technical lead or architect. Highlight your experience with Enterprise Architecture methodologies like TOGAF and your ability to communicate complex concepts to non-technical audiences.
Prepare for Potential Interviews: Anticipate questions related to your experience with Azure AI Services and data solutions. Be ready to discuss specific projects and how you approached challenges in data architecture and AI solution design.
How to prepare for a job interview at Carrington Recruitment Solutions Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Microsoft Azure, particularly in AI services and data architecture. Highlight specific projects where you've implemented ETL processes or data modelling techniques, as this will demonstrate your hands-on knowledge.
✨Communicate Clearly
Since the role requires explaining complex data and AI concepts to non-technical audiences, practice articulating your thoughts clearly. Use simple language and relatable examples to convey your ideas effectively during the interview.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your critical thinking and problem-solving abilities in data and AI contexts. Prepare to share examples of challenges you've faced in previous roles and how you approached finding solutions.
✨Emphasise Team Collaboration
As a team player, it's important to highlight your experience leading cross-functional teams. Share instances where you've successfully collaborated with others to deliver data and AI solutions, showcasing your ability to work well in a team environment.
