Cloud Data Architect

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group has over 360,000 team members globally in more than 50 countries, with 55 years of heritage and deep industry expertise. The company focuses on cloud, data, AI, software, digital engineering, and platforms.

• Experience as an Architect and/or Technical Leader in Cloud or Big Data projects involving data processing and visualization across SDLC phases
• Practical knowledge of at least one of the following clouds: AWS, Azure, or GCP, including Storage, Compute (+Serverless), Networking, and DevOps
• 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
• Basic command of one programming language: Python, Scala, java, or 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 Continuous Delivery / Continuous Integration environments
• Data model design and 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, evaluating individuals based on qualifications and performance without discrimination.