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. Capgemini addresses the entire breadth of business needs, from strategy and design to operations, focusing on cloud, data, AI, connectivity, software, digital engineering, and platforms.

• 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 from commercial projects
• 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 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