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- Tasks: Design and build secure, scalable data platforms using Azure and Databricks.
- Company: Leading tech firm driving business transformation in the UK.
- Benefits: Flexible working arrangements and numerous development opportunities.
- Why this job: Join a dynamic team and shape the future of data architecture.
- Qualifications: 7+ years in data architecture with expertise in Databricks and Apache Spark.
- Other info: Exciting role with potential for career advancement.
The predicted salary is between 54000 - 84000 £ per year.
A leading technology and business transformation firm in the UK is looking for a Solution Architect specializing in Azure and Databricks. In this role, you will design and build secure, scalable data platforms, develop AI/ML models, and work closely with cross-functional teams.
The ideal candidate will have over 7 years of experience in data architecture, be proficient in Databricks and Apache Spark, and possess relevant architecture certifications. Flexible working arrangements and numerous development opportunities are available.
Senior Databricks Data Architect — Azure Platform Leader in London employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Data Architect — Azure Platform Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to data architecture and AI/ML models. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Azure and Databricks. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Databricks Data Architect — Azure Platform Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Certifications: If you’ve got any relevant architecture certifications, make them stand out! We love seeing candidates who are committed to their professional development, especially in areas like Databricks and Apache Spark.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Capgemini
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks and Apache Spark. Brush up on your knowledge of data architecture principles and be ready to discuss how you've applied them in past projects. This will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about scenarios where you designed scalable data platforms or developed AI/ML models. This will demonstrate your ability to think critically and work collaboratively with cross-functional teams.
✨Get Familiar with the Company’s Projects
Research the firm’s recent projects and initiatives, especially those related to Azure and data transformation. Being able to reference their work during the interview shows genuine interest and helps you align your experience with their needs.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company. Inquire about their approach to data security or how they integrate AI/ML into their solutions. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
