Job Description

About the job you are considering

Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and across many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role
We are seeking a highly skilled Data Architect - Cloud with extensive experience in modern data platforms, including Databricks, Snowflake, ELT processes, and big data technologies like Apache Spark. The ideal candidate will have expertise in cloud platforms (AWS, Azure, or Google Cloud), strong programming skills in Java and Python, and a deep understanding of data modeling, data pipelines, and governance.

• Architect and design cloud-based data infrastructure to support analytics, machine learning, and reporting needs.
• Lead the development and implementation of data pipelines (ELT/ETL) using Databricks, Spark, and other big data technologies.
• Optimize the use of cloud-native platforms like Snowflake for high-performance data warehousing and analytics.
• Collaborate with stakeholders to translate business requirements into scalable and secure data architectures.
• Implement data governance practices, ensuring data integrity, security, and compliance with regulatory standards.
• Build efficient, reliable, and scalable data models and data integration solutions.

Your Skills and Experience

• Experience in data architecture and data engineering.
• Proven expertise in Databricks, Snowflake, and cloud platforms (AWS, Azure, or Google Cloud).
• Experience with ELT/ETL pipeline design, data warehousing, and data lakes.
• Strong programming skills in Python and Java.
• Hands-on experience with Apache Spark and other big data tools for data processing.
• Strong knowledge of SQL and NoSQL databases.
• Experience in building scalable data solutions and distributed systems.
• Familiarity with data governance frameworks, security, and compliance.
• Bachelor's degree in data science, Analytics, Business, or related field. Advanced degrees or certifications are a plus.

Application
As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required.

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 diverse 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.