Senior SAP data architect

Delan Associates, Inc

• $145K — $175K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in SAP data architecture, specifically with S/4 HANA.
  • Proven hands-on experience in designing data architectures across multiple platforms.
  • Strong understanding of master data management and governance frameworks.
  • Experience with cloud technologies, particularly AWS and BTP/Datasphere.
  • Ability to evaluate and challenge client recommendations effectively.

Responsibilities

  • Define the target-state data architecture across various platforms including S/4 and AWS.
  • Design a coexistence strategy for Aftermarket and Bus systems during the transition period.
  • Challenge or validate client recommendations to ensure optimal solutions.
  • Clarify data storage responsibilities across S/4, Datasphere, and other systems.
  • Establish a sustainable master-data model post-Phase 1 implementation.
  • Evaluate governance options for S/4 and potential third-party platforms.
  • Advise clients against decisions that may limit future architectural flexibility.

Benefits

  • Opportunity to work on cutting-edge SAP technologies.
  • Engagement in a long-term project with a significant impact on enterprise architecture.
  • Potential for professional growth in a dynamic environment.
  • Collaborative work culture with a focus on innovation.
  • Flexibility in travel requirements, capped at 50%.
Full Job Description
Senior SAP data architect
Location: San Francisco Suburb (East) Need local.
Duration: 12+ Months
Travel: TBD, but a max of 50% travel
Start Date: ASAP
USC,GC.

Senior SAP data architect- (Hands-on architect with recent SAP S/4 HANA experience

  • Define the target-state data architecture across S/4, BTP/Datasphere, SAC, Power BI, AWS, Salesforce, telematics, and the remaining SyteLine environment.
  • Design for the three-year coexistence period when Aftermarket is on S/4 but Bus remains on SyteLine.
  • Challenge or validate client recommendations.
  • Clarify what belongs in S/4, Datasphere, the enterprise warehouse, AWS, and archival storage.
  • Define the sustainable master-data model after Phase 1.
  • Evaluate native S/4 governance now versus later adoption of MDG or a third-party platform.
  • Protect client from making Phase 1 decisions that constrain the broader enterprise architecture.

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