Cloud Data Architect with AI

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 role is part of the Insights & Data practice, delivering cutting-edge data-centric solutions including Cloud & Big Data engineering projects on AWS, Azure, or GCP. The team is responsible for the full SDLC, coding in Python, Scala, or Java, and leveraging DevOps tools. The AI Center of Excellence delivers Data Science, Machine Learning, and Generative AI projects focusing on NLP, Anomaly Detection, Computer Vision, and Large Language Models (LLMs).

• Good experience as an Architect and/or Technical Leader in Cloud or Big Data projects in data processing and visualization across different phases of SDLC
• Practical knowledge of one of the following clouds: AWS, Azure, GCP in Storage, Compute (+Serverless), Networking, and DevOps with commercial project experience
• Familiarity with several of the following technologies: Cloud Dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda
• At least basic command of one of the programming languages: Python, Scala, Java, bash
• Practical experience or strong interest in AI/ML solutions including Generative AI (e.g., LLMs, prompt engineering, vector databases, RAG architectures)

• Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture), including AI-ready data platforms supporting machine learning and Generative AI workloads
• Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment
• Designing and integrating AI/ML and Generative AI solutions (e.g., LLM-based use cases) into cloud-based data platforms
• Data model design, data flow documentation
• Supporting the Team as a Technical Leader, ensuring system compliance with standards and best practices in software development

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