SAP Datasphere Developer/Architect

Job Description :

Key Responsibilities :

- Architect scalable and secure data models leveraging SAP Dataspheres capabilities, including data ingestion, transformation, and governance.

- Collaborate with business stakeholders to gather requirements, translate them into technical solutions, and align with enterprise data strategy.

- Integrate SAP Datasphere with other SAP systems (S/4HANA, BW/4HANA), ERP, and third-party applications using APIs, OData, and connectors.

- Develop and optimize complex data models, views, and calculation views using Core Data Services (CDS) and other SAP modeling tools.

- Implement data security, access controls, and compliance measures within SAP Datasphere solutions.

- Work closely with data engineering and analytics teams to ensure seamless data flow and availability for

reporting and analytics.

- Lead architectural discussions and provide guidance on best practices, design patterns, and SAP Datasphere roadmap adoption.

- Support migration projects from legacy data warehouses or systems to SAP Datasphere.

- Participate in Agile development processes and contribute to continuous improvement initiatives.

Required Skills & Qualifications :

- Strong knowledge of SAP data modeling concepts, Core Data Services (CDS) Views, and SAP Analytics Cloud

integration.

- Experience with SAP BW/4HANA, S/4HANA Embedded Analytics, and SAP Data Intelligence is a plus.

- Expertise in data integration techniques using REST APIs, OData services, and ETL/ELT processes.

- Solid understanding of cloud data platforms and data governance best practices.

- Proficiency in SQL and data transformation languages.

- Experience with SAP Business Technology Platform (BTP) and related tools.

- Excellent problem-solving skills and ability to translate complex business requirements into scalable data solutions.

- Strong communication skills for effective collaboration with stakeholders, technical teams, and leadership.

- Familiarity with Agile methodologies and tools.

Preferred Qualifications :

- Experience with SAP Analytics Cloud (SAC) and advanced analytics solutions.

- Knowledge of machine learning or AI integration within SAP ecosystems.

- Experience working in multinational or global projects