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- Tasks: Design and implement AI solutions using Microsoft Azure while collaborating with cross-functional teams.
- Company: Join Buy Local Sundridge Ltd, a fast-growing enterprise based in Central London, offering remote work.
- Benefits: Enjoy remote work flexibility, global travel opportunities, and competitive salary based on experience.
- Why this job: Be at the forefront of AI technology, making a real impact in a dynamic environment.
- Qualifications: Tertiary qualifications in IT or Data Science, with 3+ years in a senior technical role.
- Other info: Fluency in English is essential; other languages are a plus.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Solution Architect role at Buy Local Sundridge Ltd. This role will be working at the forefront of AI, it will be very hands-on and we need this candidate to not only have the Data Architecture experience within a Microsoft Stack environment, but also relevant AI solution designing experience. We need you to understand Data, the Data Concepts, Natural Language Intelligence, and the Deployment of off-the-shelf technologies. 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
- Experienced in building Microsoft AI Services
- 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.
Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote (Basé à London)
✨Tip Number 1
Familiarise yourself with the latest trends in Azure AI Services and ETL techniques. Being well-versed in these areas will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data and AI fields, especially those who work with Microsoft technologies. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss your hands-on experience with data architecture and AI solution design. Be ready to share specific examples of projects you've worked on, as this will demonstrate your practical knowledge and problem-solving skills.
✨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 Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Azure, AI, and ETL processes. Use specific examples that demonstrate your hands-on skills and knowledge in data architecture and AI solution design.
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, particularly your experience in leading cross-functional teams and delivering data solutions.
Showcase Relevant Projects: If you have worked on projects involving Azure AI Services or data modelling, be sure to include these in your application. Describe your role and the impact of your contributions to highlight your expertise.
Prepare for Technical Questions: Anticipate technical questions related to data architecture and AI during the interview process. Brush up on Enterprise Architecture methodologies like TOGAF and be ready to discuss your problem-solving approach in data contexts.
How to prepare for a job interview at Golden Bees
✨Show Your Passion for Microsoft Technologies
Make sure to express your enthusiasm for Microsoft technologies, especially Azure and AI. Share specific examples of projects where you've successfully implemented these technologies, as this will demonstrate your genuine interest and expertise.
✨Prepare for Technical Questions
Expect in-depth technical questions related to data architecture, ETL processes, and AI solutions. Brush up on your knowledge of Azure PaaS Data Services and be ready to discuss your experience with data modelling and CI/CD practices.
✨Communicate Clearly with Non-Technical Audiences
Since the role requires explaining complex data and AI concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or real-world examples to make your points clear and relatable.
✨Demonstrate Leadership and Team Collaboration
Be prepared to discuss your experience leading cross-functional teams. Highlight instances where you successfully collaborated with others to deliver data and AI solutions, showcasing your ability to work well in a team environment.
