SAP Platform Architect; BW​/HANA migration

Position: SAP Platform Architect (BW/4HANA migration) ...
Location: Town of Belgium

# SAP Platform Architect (BW/4

HANA migration) – 8 months – 100% remote
* Jobs Ref: #73357# SAP Platform Architect (BW/4

HANA migration) – 8 months – 100% remote
* Practice* Technologies  
** SAP Technology Jobs
*** Location  
** REMOTE, Belgium
*** Type  
** Contract
* *** SAP Platform Architect.*
* ** Mandatory Experience (Must Have)** - BW Migration Track Record - Proven hands-on experience leading at least one full BW on-prem to BW/4

HANA migration, not just advisory, actual delivery on customer side.

- Experience with SAP's BW/4

HANA migration tooling:
Shell Conversion, Remote Conversion, or In-Place Migration and knows when to use which - not necessary hands on but understand well the concept.

- Worked directly with SAP or a certified SAP partner on BW migration programs.

- Understanding of RISE with SAP commercial and technical model, knows the difference between RISE, BTP, and managed cloud.

- Good understanding of BW/4

HANA Cockpit and the Migration Workbench.

- Understanding of network topology, latency considerations, and data residency in cloud BW deployments.
** Technical BW/4

HANA Depth** - Deep knowledge of BW/4

HANA data modelling: aDSO, Composite Provider, Open ODS Views and how they replace classic BW objects.

- Ability to assess which legacy objects (Info Cubes, Multi Providers, DSOs) can be migrated vs need to be rebuilt.

- SAP HANA optimization knowledge such as partitioning, indexing, memory management in BW context.

- BEx vs SAP Analytics Cloud (SAC) reporting transition.
** SAP Datasphere Knowledge (good to have but not mandatory)** - Solid understanding of SAP Datasphere architecture:
Spaces, Data Flows, Transformation Flows, Business Builder.

- Knowledge of Data Products concept and how they enable data mesh patterns.

- Understanding of federation vs replication strategies in Datasphere.

- Familiarity with SAP Analytics Cloud (SAC) integration with Datasphere as the consumption layer.

- Experience defining data architecture standards: naming conventions, layering (acquisition, transformation, consumption), data ownership.

- Knowledge of data lineage, data cataloguing especially relevant as you move towards Datasphere's data product model.

- Experience managing SAP as a vendor, knows how to engage SAP support, SAP CoE, and escalation paths.
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