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For Companies At a Glance
- Tasks: Design and implement complex data solutions on AWS, leading the Payment Gateway team.
- Company: Join Capgemini, a global leader in tech transformation with a collaborative culture.
- Benefits: Enjoy a competitive salary, health benefits, hybrid work, and career development opportunities.
- Why this job: Shape the future of technology while making a real impact in a dynamic environment.
- Qualifications: 7+ years in data engineering, strong AWS skills, and experience with CI/CD pipelines.
- Other info: Be part of a diverse team with excellent growth potential and innovative projects.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Job Title: Cloud Architect (Knutsford, UK)
Full time, Hybrid, 2 days a week in the office
Get The Future You Want!
Choosing Capgemini means you will be empowered to shape your career, be supported by a collaborative global community, and help leading organizations unlock the value of technology while building a more sustainable, inclusive world.
Your Role
We are seeking a highly skilled and experienced Senior Cloud Architect to join our dynamic Payment Gateway team in Knutsford, UK for a full-time hybrid role. As an SME you will provide technical leadership and best practices across the team.
- You will design, develop, and implement complex data solutions on cloud platforms (primarily AWS), ensuring quality, scalability, and performance.
- Serve as a subject matter expert in cloud data engineering, providing technical guidance and mentorship to the team.
- Drive the design, development, and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue, AWS Lambda, AWS S3, AWS Redshift, AWS EMR).
- Develop and maintain data quality checks, data validation rules, and data lineage documentation.
- Collaborate with data analysts, data scientists, business stakeholders, and product owners to understand data needs and translate them into solutions.
- Troubleshoot and resolve data quality issues, performance bottlenecks, and production incidents.
- Participate in evaluation, selection, and implementation of new data technologies and tools.
- Adhere to and champion best practices in data engineering, including data security, privacy, and governance.
- Define and enforce data engineering standards, processes, and best practices within the team.
- Develop and maintain CI/CD pipelines for data engineering workflows using tools like Jenkins.
- Automate data ingestion, transformation, and loading processes.
- Work closely with DevOps and other engineering teams to ensure smooth deployment and operations of data pipelines.
- Experience working on Linux platforms and managing data on Linux servers.
- Stay abreast of the latest advancements in cloud computing and data engineering technologies.
- Contribute to the development and improvement of the team\\\’s overall performance and efficiency.
- May lead small projects or initiatives within the data engineering team.
Your Profile
- 7+ years of experience in data engineering with a strong focus on cloud platforms (preferably AWS).
- 3+ years of experience as a Senior Engineer or SME in a data engineering role.
- Solid experience working on Linux platforms. Experience with CI/CD pipelines and tools like Jenkins.
- Strong understanding of DevOps methodologies and principles.
- Solid understanding of data warehousing, data modeling, and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python, Scala, Java). Experience with SQL and NoSQL databases.
- Familiarity with data quality and data governance best practices.
- Strong analytical and problem-solving skills.
- Excellent communication, interpersonal, and presentation skills.
- Desired Skills: Experience with containerization (e.g. Docker, Kubernetes). Experience with data streaming platforms (e.g. Kafka, Kinesis).
- Experience with data visualization and business intelligence tools.
- Experience with Agile development methodologies.
- AWS Certifications (e.g. AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect).
About Capgemini
Capgemini is a global business and technology transformation partner helping organizations accelerate their digital and sustainable transition while creating tangible impact. It is a diverse group of 340,000 team members in more than fifty countries. With a 55-year heritage, Capgemini unlocks the value of technology to address business needs, delivering end-to-end services from strategy and design to engineering, fueled by strengths in AI, cloud, and data, and a strong partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want | www.capgemini.com
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AWS Cloud Architect employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Cloud Architect
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Capgemini. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your hands-on experience with AWS and data engineering. Share specific projects you've worked on and how you tackled challenges – it’ll show you're the real deal!
✨Prepare for Technical Interviews
Brush up on your technical skills and be ready to dive deep into cloud architecture concepts. Practice common interview questions related to AWS and data pipelines, so you can confidently showcase your expertise when it counts.
✨Apply Through Our Website
Don’t forget to apply directly through the Capgemini website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings tailored to your skills.
We think you need these skills to ace AWS Cloud Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Architect role. Highlight your experience with AWS and data engineering, and don’t forget to mention any relevant projects or technologies you've worked with. 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 tell us why you're passionate about cloud technology and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description – we love a good story!
Showcase Your Technical Skills: Since this role is all about technical expertise, make sure to clearly list your skills in data engineering, cloud platforms, and any programming languages you know. We’re keen on seeing your proficiency in tools like AWS Glue and Jenkins, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get started on your journey with us!
How to prepare for a job interview at Capgemini
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially the services mentioned in the job description like AWS Glue, Lambda, and S3. Be ready to discuss how you've used these tools in past projects and how they can solve specific problems.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with data pipelines, ETL processes, and data quality checks. Have examples ready that demonstrate your ability to design and implement complex data solutions, as well as any challenges you've overcome in previous roles.
✨Communicate Clearly and Confidently
Since this role involves collaboration with various stakeholders, practice explaining technical concepts in a way that's easy to understand. Use clear examples to illustrate your points and show that you can bridge the gap between technical and non-technical teams.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in cloud computing and data engineering. Being able to discuss current trends or new technologies will show your passion for the field and your commitment to continuous learning.
