Data Architect - Databricks in London
Data Architect - Databricks

Data Architect - Databricks in London

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build scalable data platforms using Databricks and Azure.
  • Company: Join Capgemini, a global leader in tech transformation.
  • Benefits: Flexible working, extensive training opportunities, and a supportive work-life balance.
  • Why this job: Make a real impact by leveraging cutting-edge technology to drive business insights.
  • Qualifications: 7+ years as a Data Architect with expertise in Databricks and Azure.
  • Other info: Be part of a diverse team dedicated to innovation and sustainability.

The predicted salary is between 43200 - 72000 £ per year.

As a Solution Architect with an Azure and Databrick 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.

Your Role

  • 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.
  • Ability to 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 on the pathway to become one.

Your Skills and Experience

  • 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 and analytical skills and strong communication and teamwork skills.
  • Passion for data and a thirst for learning and is either already a Databricks champion or working towards it.
  • Relevant Architecture certifications from Microsoft and Databricks.

Your Security Clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.

What does 'Get The Future You Want' mean for you?

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.

Why you should consider Capgemini

Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

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. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Data Architect - Databricks in London employer: Capgemini

Capgemini is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to explore and grow within their roles. With a strong commitment to work-life balance and flexible working arrangements, you will have access to extensive training opportunities and resources to enhance your skills in a supportive environment. Join a diverse team dedicated to making a positive impact through technology while enjoying the benefits of a hybrid-first approach in the heart of the UK.
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Contact Detail:

Capgemini Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Architect - Databricks in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Data Architect role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Databricks projects, data models, and any AI/ML implementations you've worked on. This will give potential employers a clear view of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common questions related to data architecture and Azure services. Practice explaining your past projects and how you tackled challenges—this will help you stand out during the interview process.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to track your application and get back to you quickly.

We think you need these skills to ace Data Architect - Databricks in London

Databricks
Apache Spark
Azure Data Lake Storage
Data Warehousing
AI/ML Model Development
Data Pipeline Design
Data Quality Checks
Performance Analysis
Collaboration with Cross-Functional Teams
Problem-Solving Skills
Analytical Skills
Communication Skills
Microsoft Azure
Data Governance Practices
Architecture Certifications

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to highlight your experience with Databricks, Apache Spark, and Azure. We want to see how your skills align with the role, so don’t be shy about 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 data architecture and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!

Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in previous roles. We’re looking for those analytical skills that will help us build scalable data platforms, so don’t hold back!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!

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 designing and implementing data platforms. Highlight specific examples where you've leveraged Databricks and Apache Spark to solve complex data challenges.

✨Showcase Your Problem-Solving Skills

Prepare to share instances where you've tackled performance issues or bottlenecks in data pipelines. Think of a few scenarios where your analytical skills made a difference, and be ready to explain your thought process and the outcomes. This will demonstrate your ability to optimise data infrastructure effectively.

✨Collaboration is Key

Since the role involves working with cross-functional teams, be prepared to discuss your experience collaborating with business analysts, data scientists, and DevOps engineers. Share examples of how you’ve successfully worked together to implement data solutions, as this shows you can thrive in a team environment.

✨Stay Current with Big Data Trends

Show your passion for continuous learning by discussing recent trends in big data technologies. Mention any relevant courses or certifications you’re pursuing, especially those related to Azure and Databricks. This will highlight your commitment to staying ahead in the field and your eagerness to grow within the role.

Data Architect - Databricks in London
Capgemini
Location: London

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