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SAP Datasphere and Analytics Architect

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Job Title: SAP Datasphere and Analytics Architect

Location: Dallas, TX

Job Overview

We are looking for a highly skilled SAP Datasphere and Analytics Architect to lead the design, implementation, and optimization of SAP Datasphere and related analytics solutions. This role will focus on leveraging SAP Datasphere, SAP BTP, S/4 HANA, BW on HANA, HANA DB, and SAP Analytics Cloud to create innovative and efficient solutions that drive business insights and digital transformation.

Key Responsibilities

Lead end-to-end implementation of SAP Datasphere for data integration, modeling, and management.

Architect and configure SAP Datasphere for on-premise integrations, including data lake and object storage solutions.

Design and implement data migration solutions between SAP and non-SAP systems using SAP Datasphere.

Develop unstructured data models and data fabric solutions in SAP Datasphere.

Set up and configure SAP Analytics Cloud for impactful visualizations and analytics.

Collaborate with stakeholders to align technical solutions with business requirements.

Perform system sizing, architecture planning, and optimization for scalability.

Integrate with various data sources using adapters like HANA, ABAP, OData, and JDBC.

Troubleshoot and optimize existing SAP implementations to enhance efficiency.

Skills and Qualifications

3+ years experience with SAP Datasphere in data modeling (Data Builder & Business Builder), integration, and governance.

Proven experience with SAP HANA XSA Modeling (5+ years).

Strong knowledge of Data Strategy, Data Mesh, and Data Fabric architectures.

Proficient in SAP Analytics Cloud for creating analytical dashboards and data visualizations.

Expertise in system architecture, sizing, and performance optimization of SAP cloud solutions.

Hands-on experience with data integration protocols and connectors (JDBC, OData).

3+ years of end-to-end SAP project implementation experience (design to deployment).

Familiar with HANA 1.0 and 2.0 platforms.

Strong problem-solving and communication skills to work effectively with both technical and business teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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