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SAP Platform Architect; BW​/HANA migration remote

Remote / Online - Candidates ideally in
Town of Belgium, Belgium, Ozaukee County, Wisconsin, 53004, USA
Listing for: Next Ventures
Contract, Remote/Work from Home position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Engineering, IT Consultant
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: SAP Platform Architect (BW/4HANA migration) - 8 months - 100% remote
Location: Town of Belgium

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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