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  4. Click Websites.
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  1. Go to Settings.
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Jobs or company...

SAP Datasphere and Analytics Architect

Salary undisclosed

Apply on

Dice
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Job Description -

SAP Datasphere and Analytics Architect

Location: : Chicago, IL or Dallas, TX

Duration: 6 +months

MOI: Skype

We are seeking an experienced SAP Datasphere and Analytics Architect with Hands-on expertise in implementing SAP Datasphere, SAP BTP,S/4 HANA, BW on HANA, HANA DB, and SAP Analytics Cloud. The ideal candidate will possess a strong understanding of end-to-end implementation, architecture, sizing, and optimization of SAP Datasphere, Integrations with Data lake, and Object storage technologies. This role involves designing and delivering high-quality solutions to support business processes, driving digital transformation, and optimizing system performance.

Skills and Qualifications:

  • 3+ years of experience working with SAP Datasphere, including data modeling (Data Builder & Business Builder), data integration, data transformation and data governance.
  • Experience integrating SAP Datasphere with SAP (e.g., SAP HANA, SAP BW) and non-SAP data sources.
  • Strong experience in Data strategy, Data mesh and Data Fabric architectures
  • 5+ years hands on experience with HANA XSA Modelling
  • Familiarity with setting up and managing spaces, datasets, views, and permissions in SAP Datasphere.
  • Handon expertise in Datasphere modelling, Analytical Models, Analytical datasets and SQL views
  • Expertise in SAP cloud solutions sizing and integrations
  • Consume modeled data in SAP Analytics Cloud and other clients, tools, and apps.
  • Strong understanding of data integration protocols and connectors (e.g., JDBC, OData).
  • Hands-on expertise in SAP Analytics Cloud for creating visualizations and dashboards.
  • 3+ years of end-to-end implementation experience in SAP projects, including design, development, testing, and deployment.
  • 2+ years working with both classic HANA 1.0 and HANA 2.0 platforms.
  • In-depth knowledge of system architecture, sizing, and performance optimization.
  • Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
  • Strong communication skills and the ability to work effectively with business and technical stakeholders.
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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