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For Companies At a Glance
- Tasks: Lead the design of modern Data & AI architectures and influence strategic decisions.
- Company: Fast-growing Microsoft partner with a focus on innovation and collaboration.
- Benefits: Health benefits, car allowance, flexible remote work, and gym discounts.
- Why this job: Shape the future of Data & AI while mentoring a growing team in a dynamic environment.
- Qualifications: Expertise in Azure data services, strong communication skills, and experience in enterprise architecture.
- Other info: Opportunity for significant career growth and impact in a rapidly expanding division.
The predicted salary is between 72000 - 88000 £ per year.
If you are looking for a senior role where you can influence how Data & AI is shaped and delivered within a fast-growing Microsoft partner, this is an opportunity that truly stands out. The organisation is investing heavily in modern cloud, analytics and AI and they are building a team where experienced voices can make a real difference. You will join a culture that values deep expertise, encourages open knowledge-sharing and supports ongoing development. With modern tools, varied client work and a people-focused approach, this is a place where a strong Data & AI leader can have a meaningful impact while helping scale a rapidly expanding data function.
You Will Work With
- Senior and C-suite stakeholders, leading workshops, shaping solutions and commanding the room during presales engagements.
- Running gap-analysis sessions, contributing to the sales cycle and helping strengthen the organisation's data-led presales capability.
- Defining architectural direction and guiding programmes from concept to delivery.
Microsoft Data & AI Ecosystem
- The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI.
- Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks.
Power Platform & Dataverse
- A heavy focus on Power Platform and Dataverse, as all customer data interacts with these technologies.
- Designing scalable enterprise architectures, not ad-hoc integrations.
Modern Data Architecture
- Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling.
- Steering the "doers" in the team-architecting the solution, not building it yourself.
Team & Practice Growth
- Mentoring and guiding a growing data team.
- Helping establish a maturing Data & AI division set for significant expansion over the coming years.
- Creating reusable accelerators and assets alongside the Product team.
Benefits
- Health & wellness benefits covering medical, dental and eye care, plus health cashback.
- Car allowance inclusive of salary.
- Cycle to Work scheme.
- Volunteering leave.
- 24-hour Employee Assistance Programme.
- Gym and retail discounts.
- Flexibility to work from anywhere in the world for up to 4 weeks per year.
- Expected to attend London-based client sessions once per week.
Key Experience
- Strong expertise across Azure data and AI services, including Fabric and ADF.
- Deep understanding of Dataverse and Power Platform.
- Demonstrable experience architecting complex, enterprise data and AI platforms.
- Confident communicator able to own presales and C-suite conversations.
- Knowledge of Dynamics 365, DevOps pipelines and Agile delivery.
- Experience with ML, generative AI and cognitive services.
- Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques.
- Ability to guide delivery teams without being the hands-on builder.
- Willingness to travel for client sessions (primarily London).
Ready to Take the Next Step?
If you are passionate about leading modern Data & AI architecture, enjoy shaping presales strategy, and want to play a key role in scaling a fast-growing division, this is an opportunity you won’t want to miss. Apply now or send your CV directly.
Data & AI Architect in London employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Data & AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your expertise! When you get the chance to chat with potential employers, don’t hold back on sharing your knowledge about Azure, Fabric, and modern data architecture. Be confident and let them see how you can influence their Data & AI strategy.
✨Tip Number 3
Prepare for those presales engagements! Brush up on your presentation skills and be ready to lead workshops. Practice explaining complex concepts in simple terms, as this will help you command the room and impress senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making the application process smooth and easy. Plus, it shows you’re genuinely interested in joining our team and being part of our exciting journey in Data & AI.
We think you need these skills to ace Data & AI Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in Azure, Fabric, and modern data architecture to show us you’re the perfect fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about Data & AI architecture. Share examples of how you've influenced projects or led teams, and connect your experience to our mission at StudySmarter.
Showcase Your Communication Skills: Since you'll be engaging with senior stakeholders, it's crucial to demonstrate your communication prowess. Use clear, concise language in your application to reflect your ability to command the room during presales engagements.
Apply Through Our Website: We encourage you to apply directly through our website. This not only streamlines the process but also ensures your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft Data & AI ecosystem, especially Azure, Fabric, and Power Platform. Brush up on your knowledge of modern data architecture concepts like lakehouse and data mesh, as these will likely come up during discussions.
✨Prepare for C-Suite Conversations
Since you'll be engaging with senior stakeholders, practice articulating complex ideas clearly and confidently. Think about how to present your architectural vision in a way that resonates with business objectives, not just technical jargon.
✨Showcase Your Leadership Skills
Be ready to discuss your experience mentoring teams and guiding projects. Prepare examples of how you've influenced team dynamics or improved processes, as this role involves steering others rather than doing the hands-on work yourself.
✨Engage in Presales Strategy
Familiarise yourself with the presales process and think about how you can contribute to it. Prepare to discuss your approach to running gap-analysis sessions and how you can strengthen the organisation's data-led presales capability.