A Datasphere Architec t leads the design, implementation, and optimization of enterprise data architecture using SAP Datasphere (formerly SAP Data Warehouse Cloud) and related technologies. This role is pivotal in enabling a scalable, secure, and governed data ecosystem that supports advanced analytics, business intelligence, and data-driven decision-making across the organization. Hybrid position not fully remote working full time for Capgemini.

Key Responsibilities

• Architect and implement end-to-end data solutions using SAP Datasphere, integrating with SAP and non-SAP systems.
• Design data models (semantic, logical, and physical) that support business reporting, analytics, and machine learning use cases.
• Collaborate with stakeholders to understand data requirements and translate them into scalable architecture and pipelines.
• Ensure data governance and compliance by implementing best practices in data security, lineage, cataloging, and access control.
• Optimize performance of data flows, queries, and storage within Datasphere and connected systems.
• Lead data integration efforts across cloud and on-premise environments using tools like SAP Data Intelligence, SAP BW/4HANA, or third-party ETL platforms.
• Mentor and guide data engineers, analysts, and developers on best practices in data architecture and SAP Datasphere usage.
• Stay current with emerging trends in data architecture, cloud platforms, and SAP technologies.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 7+ years of experience in data architecture, data engineering, or BI development.
• 2+ years of hands-on experience with SAP Datasphere or SAP Data Warehouse Cloud.
• Strong knowledge of data modeling, SQL, data integration, and cloud data platforms (e.g., SAP BTP, Azure, AWS).
• Experience with SAP HANA, SAP BW/4HANA, or SAP Data Intelligence is a strong plus.
• Familiarity with data governance frameworks and tools (e.g., SAP Data Catalog, Collibra, Alation).
• Excellent communication and stakeholder management skills.

Preferred Skills

• SAP certification in Datasphere or related technologies.
• Experience with data mesh or data fabric architectures.
• Knowledge of data privacy regulations (e.g., GDPR, CCPA).
• Exposure to machine learning pipelines and AI integration.

Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Paid time off and paid holidays
• Paid parental leave
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.