At a Glance
- Tasks: Design and implement Microsoft Fabric on cloud data platforms for enterprise clients.
- Company: Join NTT DATA, a leader in modern data solutions.
- Benefits: Wellbeing support, professional growth opportunities, and a dynamic work environment.
- Other info: Exciting career development prospects in a collaborative team.
- Why this job: Make a real impact by modernising data capabilities with cutting-edge technology.
- Qualifications: Proven expertise in Microsoft Fabric, SQL, and data lifecycle management.
The predicted salary is between 60000 - 80000 £ per year.
NTT DATA is looking for a Microsoft Fabric Solution Architect to join our Data Practice in the UK. This role involves designing and implementing Microsoft Fabric on cloud data platforms, working closely with enterprise clients to modernize their data capabilities. The successful candidate will have proven expertise in Microsoft Fabric architectures, SQL, and data lifecycle management. We offer a range of benefits supporting your wellbeing, along with opportunities for professional growth and development.
Fabric Data Architect — Modern Data Platform & AI Insights in London employer: NTT DATA
At NTT DATA, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee wellbeing is reflected in our comprehensive benefits package, while our focus on professional growth ensures that you will have ample opportunities to advance your career in the rapidly evolving field of data architecture. Join us in the UK and be part of a team that values your contributions and supports your journey towards becoming a leader in modern data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Fabric Data Architect — Modern Data Platform & AI Insights in London
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We think you need these skills to ace Fabric Data Architect — Modern Data Platform & AI Insights in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at NTT DATA, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT DATA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NTT DATA
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
