Hands-on SAP Data Architect - S/4 & Data Strategy

VDart Inc; Livermore (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

VDart Inc. is seeking a Senior SAP Data Architect to define and govern a multi-system data architecture across S/4HANA, DataSphere, SAC, Power BI, AWS, Salesforce, telematics, and the SyteLine environment in Livermore, CA.

The role requires hands-on expertise with recent S/4HANA implementations and a focus on the three-year coexistence strategy. You will challenge Deloitte's recommendations, clarify governance boundaries, and shape the sustainable master-data model post-Phase 1, ensuring the

Qualifications

• Hands-on SAP data architect with recent S/4HANA experience.
• Strong data architecture and enterprise architecture capabilities.
• Experience coordinating multi-system data strategy (S/4HANA, DataSphere, SAC, Power BI, AWS, Salesforce).

Responsibilities

• Define target-state data architecture across S/4HANA, DataSphere, SAC, Power BI, AWS, Salesforce, telematics, and SyteLine environment.
• Design for the three-year coexistence period when aftermarket is on S/4HANA but Bus remains on SyteLine.
• Challenge and validate Deloitte's recommendations.
• Clarify what belongs in S/4HANA, DataSphere, the enterprise warehouse, AWS, and archival storage.
• Define sustainable master-data model after Phase 1.
• Evaluate native S/4 governance now versus later MDG or third-party tool.
• Protect GILLIG from Phase 1 decisions that constrain broader enterprise architecture.

Skills

S/4HANA

Data architecture

Enterprise architecture

Tools

Power BI

S/4HANA

DataSphere

AWS

Salesforce

Job description

VDart Inc. is seeking a Senior SAP Data Architect to define and govern a multi-system data architecture across S/4HANA, DataSphere, SAC, Power BI, AWS, Salesforce, telematics, and the SyteLine environment in Livermore, CA.

The role requires hands-on expertise with recent S/4HANA implementations and a focus on the three-year coexistence strategy. You will challenge Deloitte's recommendations, clarify governance boundaries, and shape the sustainable master-data model post-Phase 1, ensuring the