Remote SAP Datasphere Solution Architect - Data & Analytics

Fusion Consulting; United States; Remote; USD 160,000 - 210,000; Full time

Job summary

Fusion Consulting is seeking a seasoned SAP Datasphere Architect to define and maintain end-to-end data architecture aligned with enterprise strategies. You will lead design of scalable data models, semantic layers, and analytical datasets across SAP and non‑SAP sources.

The role requires hands-on expertise with SAP Datasphere, data modeling, and integration across S/4HANA, SAP HANA Cloud, and related technologies, with a focus on data quality, security, and performance.

Qualifications

• Extensive hands-on experience with SAP Datasphere, including solution architecture and data modeling.
• Proven experience designing end-to-end Datasphere solutions in complex SAP environments.
• Strong knowledge of SQL, SAP HANA Cloud, data transformation, and replication techniques.

Responsibilities

• Define and maintain end-to-end SAP Datasphere solution architecture aligned with enterprise data strategies.
• Lead design of scalable data models, semantic layers, and analytical datasets.
• Architect data integration solutions across SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud, and non-SAP sources.
• Establish architectural guidelines and data modeling standards for Datasphere development.
• Provide technical leadership, conduct solution design reviews, and guide development teams.
• Ensure data quality, security, governance, and performance optimization across the landscape.

Skills

Datasphere architecture

Data modeling

Data integration

Tools

SQL

SAP HANA Cloud

Job description

Fusion Consulting is seeking a seasoned SAP Datasphere Architect to define and maintain end-to-end data architecture aligned with enterprise strategies. You will lead design of scalable data models, semantic layers, and analytical datasets across SAP and non‑SAP sources.

The role requires hands-on expertise with SAP Datasphere, data modeling, and integration across S/4HANA, SAP HANA Cloud, and related technologies, with a focus on data quality, security, and performance.