Cloud Data Architect

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. With nearly 60 years of heritage, it is a responsible and diverse group of over 420,000 team members in more than 50 countries. The Group reported 2025 global revenues of €22.5 billion.

• Good experience as an Architect and/or Technical Leader in Cloud or Big Data projects in the field of data processing and visualization (in different phases of SDLC)
• Practical knowledge of one of the following clouds: AWS, Azure, GCP in the area of Storage, Compute (+Serverless), Networking and Devops supported by work on commercial projects
• Familiarity with at least few 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

• Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture)
• Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment
• 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. They evaluate individuals based on qualifications and performance, not personal characteristics.