Senior SAP Datasphere Consultant

Hi,

I hope you’re doing well.

Our Client is seeking an Senior SAP Datasphere Consultant along with Strong experience in SAP Datasphere, SAP Data Development, External Platforms and Hybrid  Architectures. At Santa Clara, CA (Onsite). Please review job description and share the required details in the table below so that we can proceed further.

Position: Senior SAP Datasphere Consultant

Location: Santa Clara, CA (Onsite)

Duration: Long Term Contract

Must have: SAP Datasphere, SAP Data Development, External Platforms and Hybrid  Architectures.

Overview:

We are seeking a Senior SAP Datasphere consultant to lead the design, implementation, and evolution of our modern data and analytics platform on SAP Datasphere (part of SAP Business Data Cloud). You will define the enterprise data architecture, drive integration strategies across SAP and non-SAP systems, and enable scalable, self-service analytics for business users.

Job Description:

• Must have 15+ years of hands-on SAP data development experience
• Must have 2+ years'' experience with the design, development and configuration of SAP Datasphere
• Ability to work with the Business and IT
• Design logical and physical data models (spaces, semantic views, calculation views, CDS views) that are efficient, maintainable, and reusable across the organization.
• Strong data modelling, ETL/ELT, and SQL skills; familiarity with SQL Server, Snowflake, SAP HANA, BW
• Knowledge of SAP BTP services, connectivity, and hybrid integration (ODP, SDI, connectors).
• Integrate SAP Datasphere with SAP S/4HANA, BW/4HANA, HANA, and external platforms (e.g., Databricks, Snowflake, Azure, Google Cloud Platform) to enable hybrid architectures and advanced analytics.
• Experience with semantic modelling, data lineage, data virtualization, and analytics tools (SAC, Power BI).
• Partner with analytics teams to enable SAP Analytics Cloud (SAC), and other tools on Datasphere data models; ensure consistent metric definitions and reporting standards
• Understanding of data governance, security, and compliance; ability to document designs, data flows, and mappings.
• Implement access controls, authentication, authorization, and compliance with privacy/regulatory requirements; manage roles, spaces, and data sharing policies.