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- Tasks: Lead presales engagements and design innovative data platforms for enterprise clients.
- Company: A top IT services provider in England focused on AI and modern data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data and AI while working with leading enterprises.
- Qualifications: Expertise in Azure Synapse, Databricks, Python, and SQL required.
- Other info: Join a dynamic team and make a real impact in the tech industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading IT services provider in England is seeking a Presales Data Architect to shape next-generation data and AI solutions. The role involves leading presales engagements, designing end-to-end data platforms, and advising clients on AI adoption while working with enterprise clients.
The ideal candidate has strong expertise in Azure Synapse and Databricks, as well as hands-on skills in Python and SQL.
Presales Data Architect - AI & Modern Data Platforms employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Presales Data Architect - AI & Modern Data Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with data and AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Azure Synapse, Databricks, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common presales scenarios. Think about how you would approach designing a data platform for a client and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Presales Data Architect - AI & Modern Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Synapse, Databricks, Python, and SQL. We want to see how your skills align with the role of a Presales Data Architect, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data solutions. We love seeing candidates who can articulate their vision for the future of data platforms and how they can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex data challenges in the past. We’re looking for someone who can lead presales engagements and design innovative solutions, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Synapse, Databricks, Python, and SQL. Brush up on the latest features and best practices, as you might be asked to discuss how these tools can be leveraged in real-world scenarios.
✨Understand the Client's Needs
Research the company and its clients before the interview. Be prepared to discuss how you would approach their specific challenges and how your solutions can drive AI adoption and enhance their data platforms.
✨Showcase Your Presales Experience
Be ready to share examples of past presales engagements where you successfully designed data solutions. Highlight your ability to communicate complex ideas clearly and how you’ve built relationships with enterprise clients.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals, especially in the evolving field of AI and data.
