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- Tasks: Lead presales engagements and design innovative Data & AI solutions for clients.
- Company: Join a leading Microsoft Consultancy with a focus on cloud transformation.
- Benefits: Competitive salary up to £80k plus commission, remote work flexibility.
- Why this job: Shape the future of data solutions and make a real impact in the tech industry.
- Qualifications: Experience in presales or solution architecture within the Microsoft ecosystem required.
- Other info: Opportunity for career growth in a dynamic, tech-driven environment.
The predicted salary is between 48000 - 84000 £ per year.
A leading Microsoft Consultancy is looking for a Data & AI Presales Solution Architect to join the business on a permanent basis. This is a key role within their growing Data & AI practice, supporting customers on their cloud transformation journeys and shaping innovative solutions across the Microsoft ecosystem. You'll work closely with clients, sales teams and technical specialists to design compelling Data & AI architectures that showcase the value of Azure, analytics, and modern data platforms.
Key responsibilities:
- Leading presales engagements across Data & AI, translating business challenges into well-defined Microsoft-led solutions.
- Designing high-level architectures across Azure Data Services, AI/ML, analytics, and modern data platforms.
- Supporting bids, proposals, and customer workshops, ensuring solutions are commercially viable and technically robust.
- Working alongside sales teams to qualify opportunities, shape customer roadmaps, and articulate the value of Microsoft Data & AI.
- Presenting complex technical concepts in a clear, engaging way to both technical and non-technical stakeholders.
- Staying aligned with Microsoft's roadmap, partner programmes, and emerging technologies to strengthen solution offerings.
Experience required:
- Strong experience in a presales, solution architecture or customer-facing technical role within the Microsoft ecosystem.
- Deep understanding of Azure Data Services, including Data Factory, Synapse, Databricks, Data Lake, Microsoft Fabric and related analytics tools.
- Knowledge of AI and machine learning capabilities within Azure, such as Cognitive Services and Azure OpenAI.
- Ability to run discovery sessions, shape solution designs, and contribute to proposals and RFP responses.
- Excellent communication skills with the confidence to engage at C-suite and senior stakeholder level.
- A consultative mindset with the ability to balance technical depth with commercial awareness.
- Must be eligible for SC Clearance.
Microsoft Data Solution Architect in Leeds employer: Context
Contact Detail:
Context Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Data Solution Architect in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the Microsoft ecosystem and let them know you're on the hunt for a Data Solution Architect role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your previous projects related to Azure Data Services and AI/ML. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Practice your pitch! Be ready to explain complex technical concepts in a way that even non-techies can understand. This is crucial when engaging with clients and stakeholders, so rehearse until it feels natural.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you a leg up. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Microsoft Data Solution Architect in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Microsoft Data Solution Architect role. Highlight your experience with Azure Data Services and any presales engagements you've led. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Data & AI and how you can contribute to our team. We love seeing candidates who can articulate their thoughts clearly and engagingly.
Showcase Your Technical Skills: Don’t shy away from showcasing your technical expertise in your application. Mention specific tools and technologies you've worked with, like Data Factory or Azure OpenAI. We’re keen on candidates who can demonstrate their knowledge of the Microsoft ecosystem.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Context
✨Know Your Microsoft Ecosystem
Make sure you brush up on your knowledge of Azure Data Services, AI/ML capabilities, and the latest trends in the Microsoft ecosystem. Being able to discuss specific tools like Data Factory, Synapse, and Databricks will show that you're not just familiar but also passionate about the technology you'll be working with.
✨Master the Art of Storytelling
When presenting your ideas, think of it as telling a story. Use real-world examples to illustrate how you've tackled similar challenges in the past. This will help both technical and non-technical stakeholders understand the value of your proposed solutions and keep them engaged throughout your presentation.
✨Prepare for Discovery Sessions
Get ready to run discovery sessions by preparing insightful questions that can help uncover client needs. Show that you can translate their business challenges into well-defined Microsoft-led solutions. This will demonstrate your consultative mindset and ability to shape customer roadmaps effectively.
✨Engage with Confidence
Practice your communication skills to ensure you can engage confidently with C-suite and senior stakeholders. Be clear and concise when articulating complex concepts, and don’t shy away from showcasing your commercial awareness alongside your technical depth. This balance is key to winning over decision-makers.