Solution Architect (GCP)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions leveraging deep industry expertise and a strong partner ecosystem, with 2025 global revenues of €22.5 billion.

• Strong experience in developing and managing data pipelines using Apache Airflow.
• Proficiency in Google Cloud Platform (GCP) services, including GCS, Cloud Functions, and Cloud Run.
• Solid skills in Python for pipeline development.
• Ability to design scalable and efficient data solutions as a solution architect.
• Experience with data modelling and implementing data quality checks.
• Ability to create and maintain technical documentation.
• Strong customer interaction and communication skills for UAT and production support.
• Experience in managing end-to-end delivery processes including BRD/FSD review, solution gap identification, and deployment.

• Lead and manage GCP development activities, ensuring timely and high-quality technical delivery.
• Develop, maintain, and optimize data pipelines using Apache Airflow and Python.
• Implement orchestrated workflows using Google Composer.
• Integrate and manage cloud services including GCS, Cloud Functions, and Cloud Run.
• Design data solutions and provide architectural guidance based on best practices.
• Prepare and maintain documentation, including functional and technical verification.
• Oversee UAT, handle customer interactions, manage deployment, production fixes, and hypercare.
• Monitor, troubleshoot, and maintain data integrity through data modelling and pipeline issue resolution.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices and evaluating individuals based on qualifications and performance, not personal characteristics.