At a Glance
- Tasks: Design and build secure, scalable data platforms using Databricks and Azure.
- Company: Global technology consulting firm with a focus on innovation.
- Benefits: Hybrid work environment, extensive training, and career development opportunities.
- Why this job: Join a team that implements cutting-edge AI/ML models and shapes the future of data.
- Qualifications: 7+ years in data architecture and expertise in Apache Spark.
- Other info: Collaborative culture with strong emphasis on communication and analytical skills.
The predicted salary is between 48000 - 72000 Β£ per year.
A global technology consulting firm is seeking a Solution Architect focused on Databricks and Azure to build secure, scalable data platforms. This role requires over 7 years of experience in data architecture and expertise in tools like Apache Spark.
The ideal candidate will:
- Collaborate with teams
- Implement AI/ML models
- Enjoy a hybrid work environment with extensive training opportunities
Strong communication and analytical skills are essential for success.
Senior Databricks Data Architect: Azure & AI/ML Platform in Manchester employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Databricks Data Architect: Azure & AI/ML Platform in Manchester
β¨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Databricks or Azure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data architecture and AI/ML. This is your chance to demonstrate your expertise in tools like Apache Spark and how you've built secure, scalable data platforms.
β¨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various teams. Remember, they want to see how well you can articulate your ideas!
β¨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, itβs a great way to stay updated on new roles that match your skills in data architecture and AI/ML.
We think you need these skills to ace Senior Databricks Data Architect: Azure & AI/ML Platform in Manchester
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and AI/ML platforms. We want to see how your skills align with the role, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about data architecture and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Communication Skills: Since strong communication is key for this position, make sure your application reflects that. Use clear, concise language and structure your documents well. We want to see that you can convey complex ideas simply!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Capgemini
β¨Know Your Tech Inside Out
Make sure youβre well-versed in Databricks, Azure, and Apache Spark. Brush up on your technical skills and be ready to discuss specific projects where you've implemented these tools. The more you can demonstrate your hands-on experience, the better!
β¨Showcase Your Collaboration Skills
Since this role involves working with various teams, prepare examples of how you've successfully collaborated in the past. Think about times when youβve led a project or contributed to a team effort, especially in implementing AI/ML models.
β¨Communicate Clearly and Confidently
Strong communication is key for this position. Practice explaining complex concepts in simple terms, as you might need to convey technical details to non-technical stakeholders. Confidence in your delivery will make a great impression!
β¨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare for scenario-based questions where you might need to outline how you would approach building a secure, scalable data platform. Think through your thought process and be ready to articulate it clearly.