Cloud, Data Science & AI Architect

About the role

Cloud, Data Science & AI Architect at Capgemini. Define and own the end-to-end architecture for enterprise cloud, data, analytics, machine learning and Generative AI platforms.

What you'll do

• Define and own the end-to-end architecture for enterprise cloud, data, analytics, machine learning and Generative AI platforms
• Architect and lead the development of scalable cloud and data platforms supporting digital transformation, business intelligence, advanced analytics and AI initiatives
• Design cloud-native, distributed and microservices-based solution architectures on AWS, Microsoft Azure or Google Cloud Platform
• Define scalable data architectures for batch, streaming, event-driven and real-time processing workloads
• Design enterprise data platforms covering data ingestion, transformation, storage, metadata management, governance, analytics and consumption

What you need

• 6–10 years in data science & ai
• Machine learning
• SQL
• LLMs
• MLOps
• Python
• Spark
• Any graduate

Good to have

• AWS
• Data warehousing
• Data modelling
• Databricks
• Snowflake
• BigQuery