Job Description

We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Job Summary:We are looking for an experienced and highly skilled Data Architect to join our Design Authority Team to determine and advance the technology deployed within CIS Managed Services. As our Data Intelligence Platform Architect, you will oversee our Data Intelligence Platform built on Databricks.You will be responsible for defining the vision, strategy, data architecture, and the solution design of our data platform, ensuring scalability, data security and alignment with business objectives and driving innovation through the adoption of emerging technologies. This is a senior leadership role that requires strong expertise in Data architecture, business acumen, and excellent communication skills. Key Responsibilities:Define a data architecture and strategy for a scalable, performant and secure Data Platform to operate cloud and hybrid servicesDefine data standards, governance frameworks and integration patterns that align the architecture to Cloud Infrastructure Services business objectivesLead the design, development, and deployment of enhancements and backlog items for the Data Intelligence Platform on Databricks, including data architecture, data ingestion, data engineering, machine learning/AI, data visualization and analytics.Collaborate with cross-functional teams, including Operations, Transformation/Industrialization, Delivery, and Shared Services stakeholders to ensure seamless integration, relevance, and adoption of the platform.Develop and maintain a deep understanding of the organization's data landscape, including data governance, quality, and security.Stay up to date with emerging trends and technologies in data architecture, AI/ML, and cloud computing, and apply this knowledge to drive innovation and improvement in the platform.