Senior Principal SAP Datasphere Architect

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Role: Senior Principal SAP Datasphere Architect

Experience: 12–16 Years

Location: Irving, TX (Onsite/Hybrid)

Visa: / GC

Experience Level: 12–16 Years (Senior Leadership / Architecture)Focus: Enterprise Data Fabric & Advanced Cloud Modeling

Core Responsibilities: SAP Datasphere Artifact Development

As a Lead Architect, you will be responsible for the high-level design and hands-on governance of the following technical artifacts within the SAP Datasphere environment:

• Space Management & Governance:
• Designing and configuring Spaces based on functional domains (e.g., Finance, Supply Chain, Retail) or regional requirements.
• Managing resource allocation (Storage/Compute quotas) and defining User Roles and Scoped Permissions to ensure data security.
• Data Builder (Technical Layer):
• Tables & Views: Creating complex Graphical Views and SQL Views to join, union, and aggregate data from disparate sources.
• Data Flows & Replication Flows: Architecting high-performance Replication Flows for delta-loading from S/4HANA and Data Flows for complex ETL/Python-based transformations.
• Intelligent Lookup: Implementing Intelligent Lookups to harmonize disparate datasets where a common key is missing.
• Business Builder (Semantic Layer):
• Data Entities & Fact Models: Developing the business semantic layer using Business Entities, Fact Models, and Dimensions.
• Consumption Blocks: Creating Consumption Blocks and Perspectives to expose refined data specifically for SAP Analytics Cloud (SAC) and Power BI.
• Advanced Integration:
• Remote Tables: Configuring Remote Tables using SDI/SDA for real-time federated access to Snowflake, Azure SQL, or On-Premise HANA.
• Analytic Models: Building high-performance Analytic Models with multi-dimensional capabilities, restricted measures, and variables for complex business logic.
  

Qualifications For 12–16 Years Of Experience

• Strategic Leadership:
• Proven track record of leading 3 full-cycle SAP Datasphere or BW/4HANA implementations in a global, dual-shore environment.
• Ability to translate 16 years of retail/fashion domain expertise into scalable data models that solve specific industry challenges (e.g., inventory aging, cross-channel sales attribution).