Cloud Data Architect with AI

Our requirements

• 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;
• Practical experience or strong interest in working with AI/ML solutions, including Generative AI (e.g. LLMs, prompt engineering, vector databases, RAG architectures);

Your responsibilities

• 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.

About the project

What we offer

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
• Well-being culture: medical care with Medicover, private life insurance, and sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.

Benefits

• sharing the costs of sports activities
• private medical care
• life insurance
• no dress code
• parking space for employees
• extra social benefits
• redeployment package
• employee referral program
• charity initiatives
• access to courses e.g. Excel, VBA, RPA, Customer Care
• unlimited access to Udemy Business
• free chat/call with a therapist

Recruitment stages

• 1.
  Interview with the recruiter
• 2.
  Competency Tests/Language Verification
• 3.
  Video call with a manager
• 4.
  Final Decision

Capgemini Polska