Cloud Data Architect

**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**:

- 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.
- Experience with integration on relevant tools and software such as Terraform, Ansible, SonarQube, Nexus, Gitlab.
- 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.
- experience in DevSecOps design and development within the Public Sector with relevant project clearances.
- Knowledge or understanding of project lifecycle.
- Build efficient, reliable, and scalable data models and data integration solutions.
- Knowledge or working experience in public sector is preferred.

**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.

**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.

**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 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 fueled 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.