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For Companies At a Glance
- Tasks: Design and build scalable data platforms using Databricks and Azure.
- Company: Join Capgemini, a global leader in tech transformation.
- Benefits: Enjoy flexible working, extensive training, and a positive work-life balance.
- Why this job: Make an impact with cutting-edge data technologies and AI/ML models.
- Qualifications: 7+ years as a Data Architect with expertise in Databricks and Azure.
- Other info: Be part of a diverse team with endless learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Join as a Solution Architect focused on Azure and Databricks, building scalable and secure data platforms.
Role Overview
As a Solution Architect with an Azure and Databricks focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
Responsibilities
- Design and build high-performance data platforms: utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
- Design and oversee the delivery of secure data warehouses and data lakehouses: implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
- Design, build, and deploy AI/ML models: integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
- Design, monitor, and optimize data pipelines and infrastructure: analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
- Collaborate with cross-functional teams: work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
- Stay ahead of the curve: continuously learn and adapt to the evolving landscape of big data technologies and best practices.
- Be a Databricks champion or be on the pathway to becoming one.
Qualifications
- Minimum 7+ years of experience as a Data Architect with experience in designing, developing, and implementing Databricks solutions.
- Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices.
- Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
- Excellent problem-solving, analytical skills, and strong communication and teamwork skills.
- Passion for data and a thirst for learning, and either already a Databricks champion or working towards it.
- Relevant architecture certifications from Microsoft and Databricks.
Security Clearance
To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. The successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
Benefits & Work Culture
You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities, from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
Data Architect - Databricks in Manchester employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Databricks in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. This gives you a chance to demonstrate your expertise and makes you stand out during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data architecture and Databricks. Practice explaining your past projects and how you've tackled challenges in a clear and concise way.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Capgemini.
We think you need these skills to ace Data Architect - Databricks in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Databricks, Azure, and Apache Spark. 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 architecture and how your background makes you a perfect fit for our team. Let us know why you want to join StudySmarter!
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Share specific examples of how you've designed and implemented data platforms or AI/ML models. We love seeing real-world applications of your skills.
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’s super easy!
How to prepare for a job interview at Capgemini
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss how you've used it in past projects, especially in relation to building data platforms and implementing AI/ML models. Highlight specific examples where your expertise made a difference.
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've tackled complex data challenges. Think about how you optimised data pipelines or improved data quality checks. This is your chance to demonstrate your analytical skills and how you can contribute to their data-driven operations.
✨Familiarise Yourself with Azure Services
Since the role focuses on Azure, make sure you know the ins and outs of Azure Data Lake Storage and Azure Data Factory. Be prepared to explain how you've integrated these services into your previous work and how they can enhance data architecture.
✨Emphasise Collaboration and Learning
Capgemini values teamwork, so be ready to discuss how you've collaborated with cross-functional teams in the past. Also, express your passion for continuous learning and how you stay updated with the latest big data technologies. This shows you're not just a techie but also a team player.
