Managing Enterprise Datasphere Architect
About The Position
Capgemini’s Insights & Data practice is seeking a highly experienced SAP Datasphere & SAP Analytics Cloud (SAC) Solution Architect to lead strategic data and analytics initiatives for enterprise clients. In this role, you will architect, implement, and optimize cloud-based analytics solutions leveraging SAP’s latest data and visualization platforms, with a focus on scalable, real-time insights and clean core principles. As digital transformation accelerates, our clients look to Capgemini for leadership in achieving operational excellence, minimizing disruption, and innovating with agility. Within this context, you will work alongside a world-class team in a culture that values ethics, diversity, and continuous innovation. You will be part of a global, award-winning practice that’s been recognized by the Ethisphere Institute as one of the World’s Most Ethical Companies for nine years running and ranked as a top company for women by Working Mother Media.
Requirements
- Proven experience in architecting and delivering SAP Datasphere and SAP Analytics Cloud (SAC) solutions.
- Deep knowledge of data integration techniques and technologies including SAP BW Bridge, ODP, and SAP Data Intelligence
- Experience in designing and optimizing semantic layers, KPI models, and SAC visualizations
- Familiarity with SAP BTP services, clean core architecture, and extensibility principles
- Strong communication skills and experience mentoring development teams and working with business stakeholders
Responsibilities
- Lead the end-to-end architecture and implementation of SAP Datasphere and SAC solutions across enterprise clients
- Design cloud-native data models and semantic layers in Datasphere for real-time and batch analytics use cases
- Define data integration strategies using SAP BW Bridge, Data Intelligence, CDS Views, ODP, and APIs for hybrid SAP/non-SAP environments
- Architect and deliver SAC dashboards, stories, and analytic applications using both live and import data connections
- Collaborate with business stakeholders to translate analytics requirements into scalable technical designs
- Integrate SAC with planning models, predictive analytics, and SAP BTP services (e.g., HANA Cloud, Identity Services)
- Contribute to performance optimization, data governance, and reusable frameworks and best practice
Benefits
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
