Managing Enterprise Datasphere Architect
Capgemini
Job Description
Managing Enterprise Datasphere Architect
Job Description
Enterprise Architects go beyond designing IT systems to deliver business change, which may also be supported and enabled by IT. They define services from a business perspective, both with and without automation. They make an initial grouping of services in components, using principles based on business objectives and constraints.
They have deep business and industry expertise, are familiar with industry standards and can work at the boardroom and senior management level. Enterprise Architects define and ensure a comprehensive and coherent view across Business, Information, Systems and Technology.
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.
Your role
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
Required skills and experience
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.
Compensation
The base compensation range for this role in the posted location is: $88,544 - $207,401.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
Benefits
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.
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
Life and disability insurance.
Employee assistance programs.
Other benefits as provided by local policy and eligibility.
Equal Opportunity
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
#J-18808-Ljbffr