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# SAP Datasphere Analystics Architect

- **Company:** SPADTEK SOLUTIONS LLC
- **Location:** New York, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, SAP NetWeaver Business Warehouse, SAP HANA, SQL Databases, Data Streaming, Sql Optimization, SAP S/4HANA, Databricks
- **Published:** June 23, 2026
- **Apply:** https://www.dice.com/job-detail/ceba9831-7eee-44eb-a2bb-4c7cc04184a9

## About the Role

* 10+ years in SAP BW and analytics architecture, including 3+ years in a technical leadership capacity.
 * BW mastery: InfoCubes, ADSOs, CompositeProviders, ODP, BEx, transformations and DTPs - in production.
 * Datasphere expertise: spaces, Data Builder, Business Builder, analytic models, replication / transformation / data flows, and data access controls.
 * Proven migration path: you started in BW, progressed through BW/4HANA, and have personally delivered Datasphere and BDC modernizations end-to-end.
 * Modeling fluency: HANA modeling, advanced SQL, CDS views, and semantic-layer design for consumption.
 * Integration awareness: Delta Sharing, Databricks and hyperscaler targets, and SAC / front-end consumption.
 * Stakeholder management skills, with translating architecture into outcomes for technical and executive audiences.
 * Business Data Cloud awareness - familiarity with BDC data products, formations, and partner GTM is a plus, not a prerequisite., An architect with a consulting or services background who started in SAP BW and carried that lineage forward into BW/4HANA and Datasphere. You are hands-on, entrepreneurial, and ready to own delivery outcomes while building practice capability alongside you.

## Description

* Architecture & Delivery: Define target-state platforms on Datasphere and Business Data Cloud; establish reference patterns for spaces, data products, and semantic models
 * BW Modernization: Lead assessments and migrations from BW / BW4HANA to Datasphere and Databricks, mapping InfoProviders, ADSOs, CompositeProviders, ODP, and BEx logic to modern, governed equivalents.
 * Data Modeling & Semantics: Build graphical and SQL views, analytic models, and the business semantic layer; carry calculations, hierarchies, and authorizations through to SAC consumption.
 * Integration & Data Flows: Implement replication, transformation, and data flows; design Delta Sharing and Open SQL access; integrate with Databricks and hyperscaler targets.
 * Governance & Security: Implement space design, data access controls, authorizations, and end-to-end lineage.
 * Performance & Cost: Tune persistence, partitioning, and remote-vs-replicated tradeoffs; manage CU consumption and cost controls.
 * Technical Leadership: Mentor consultants, lead design and model reviews, and shape the practice roadmap.


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