Data Architect

Your Role

• Define and govern enterprise data and AI architectures supporting advanced analytics, machine learning, GenAI, and multi-agent systems.
• Design scalable data platforms including data lakes, lakehouse architectures, feature stores, and AI-ready integration frameworks.
• Architect cloud-native AI and analytics solutions across AWS, Azure, and GCP using containerized and microservices-based deployment models.
• Establish Responsible AI, governance, compliance, and MLOps standards across enterprise AI and analytics programs.
• Collaborate with business, product, and engineering teams to deliver scalable, data-driven transformation initiatives and reusable AI accelerators.

Your Profile

• 10-18+ years of experience with strong expertise in Data Science, Machine Learning, AI architecture, and enterprise analytics solutions.
• Hands-on proficiency in Python and leading AI/data science frameworks including Scikit-learn, PyTorch, Pandas, and NumPy.
• Strong experience with cloud-based AI platforms, APIs, Kubernetes, containerization, and microservices-driven architectures.
• Exposure to GenAI, LLMs, RAG architectures, prompt engineering, fine-tuning, and agentic AI solutions.
• Excellent analytical thinking, stakeholder management, communication, and enterprise solutioning capabilities.

What you'll love about working here

• We offer a range of career paths and internal opportunities within Capgemini group.
• You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
• At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.