Solution Architect

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.