At a Glance
- 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 options.
- 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 and supportive 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 will 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.
- 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 Bradford employer: Context
Contact Detail:
Context Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Microsoft Data Solution Architect in Bradford
✨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! Create a portfolio that highlights your previous projects and successes in presales and solution architecture. This will not only impress potential employers but also give you confidence during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by rehearsing answers to common questions related to Azure Data Services and AI/ML. Make sure you can clearly articulate complex concepts in a way that resonates with both technical and non-technical folks.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly through us ensures your application gets the attention it deserves. Don’t miss out on your dream job!
We think you need these skills to ace Microsoft Data Solution Architect in Bradford
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. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Communication Skills: Since you'll be presenting complex concepts to various stakeholders, it's crucial to demonstrate your communication skills in your application. Use clear and engaging language in your CV and cover letter to reflect this ability.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
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 tools like Data Factory and Databricks. Being able to discuss these confidently will show that you're not just familiar with the tech but can also translate it into solutions for clients.
✨Prepare for Presales Scenarios
Think about common business challenges that clients face and how you would address them using Microsoft solutions. Prepare a few case studies or examples from your past experience where you've successfully led presales engagements or shaped solution designs.
✨Engage with Clarity
Practice presenting complex technical concepts in a way that's easy to understand for both technical and non-technical stakeholders. You might want to rehearse explaining a challenging project to a friend who isn’t in tech to ensure you can simplify your language.
✨Show Your Consultative Mindset
During the interview, demonstrate your ability to balance technical depth with commercial awareness. Be ready to discuss how you’ve previously engaged with C-suite executives and shaped customer roadmaps, highlighting your consultative approach to problem-solving.