AWS Cloud Architect

Capgemini; London; Hybrid; GBP 80,000 - 90,000; Full time

Job summary

A leading company seeks an AWS Cloud Architect to join their Payment Gateway team in a hybrid role. Candidates should possess extensive experience in data engineering, particularly with AWS, and demonstrate strong leadership skills. The role includes developing data solutions and mentoring team members to ensure high-quality outcomes.

Qualifications

• 7+ years of data engineering experience focused on cloud platforms (AWS).
• 3+ years as a Senior Engineer or SME in data engineering.
• Solid experience with CI/CD pipelines and working on Linux platforms.

Responsibilities

• Design and implement complex data solutions on AWS platforms.
• Guide and mentor the data engineering team.
• Collaborate with stakeholders to meet data needs.

Skills

Data Engineering

Cloud Platforms

Problem-Solving

Data Quality

DevOps

Communication

Education

AWS Certifications (e.g. AWS Certified Data Analytics - Specialty)

Bachelor’s Degree in Computer Science or related field

Tools

Jenkins

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

AWS EMR

Job description

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Job Title: AWS Cloud Architect (Fleet, UK)

Full time, Hybrid.

Get The Future You Want!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

We are seeking a highly skilled and experienced AWS Cloud Architect to join our dynamic Payment Gateway team in Fleet UK for a Full time Hybrid role. As an SME you will serve as a subject matter expert providing technical leadership guidance and best practices across the team.

• You will play a critical role in designing developing and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of 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 their data needs and translate them into innovative and effective technical solutions.
• Troubleshoot and resolve complex data quality issues performance bottlenecks and production incidents.
• Participate in the 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 teams 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 technologies (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 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 fifty 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, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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