Randstad is seeking a Principal SAP Data Architect to serve as the foundational technical lead for a major enterprise modernization initiative in Washington D.C. This strategic role is responsible for architecting a unified SAP data analytics and AI ecosystem-bridging S/4HANA BW/4HANA DataSphere and SAC-to ensure a trusted interoperable data fabric aligned with broader cloud platforms like Azure and Databricks. As a high-impact visionary you will define the standards for semantic modeling and data virtualization mentor engineering teams through complex production-ready designs and accelerate shovel-ready SAP initiatives that transform raw data into superior business outcomes.
Core Responsibilities
- Architectural Leadership: Lead the design and implementation of SAP data analytics and AI strategies across multiple product and platform teams.
- Standardization & Governance: Establish enterprise-wide standards for DataSphere BW/4HANA SAC and CDS views ensuring seamless S/4HANA integration.
- Hybrid Data Modeling: Design complex semantic and virtualized models that blend SAP and non-SAP sources into a cohesive high-performance pipeline.
- Technical Mentorship: Guide and mentor data engineers by providing documented production-grade architectural blueprints and best practices.
- Strategic Alignment: Partner with Enterprise Architecture and Data Governance teams to ensure SAP initiatives support broader organizational goals and agile workflows.
Qualifications
- Education: Bachelors degree in Computer Science Information Systems or Data Engineering (Masters degree highly preferred).
- Professional Experience: 8 years of deep technical leadership in SAP data engineering and analytics environments.
- Modernization Expertise: Proven track record in SAP S/4HANA migrations including the adoption of DataSphere and BW/4HANA.
- Technical Ecosystem: Expert-level knowledge of MDG data quality frameworks AI/ML enablement and cloud integrations (specifically Databricks/Azure).
- Certifications: Active SAP or Cloud Provider (Azure/AWS/GCP) certifications are strongly preferred.
- Soft Skills: Exceptional ability to translate complex SAP architectures into actionable guidance for non-technical stakeholders and agile teams.
Required Skills :
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
N/A
Stipend :false
Randstad is seeking a Principal SAP Data Architect to serve as the foundational technical lead for a major enterprise modernization initiative in Washington D.C. This strategic role is responsible for architecting a unified SAP data analytics and AI ecosystem-bridging S/4HANA BW/4HANA DataSphere and...
Randstad is seeking a Principal SAP Data Architect to serve as the foundational technical lead for a major enterprise modernization initiative in Washington D.C. This strategic role is responsible for architecting a unified SAP data analytics and AI ecosystem-bridging S/4HANA BW/4HANA DataSphere and SAC-to ensure a trusted interoperable data fabric aligned with broader cloud platforms like Azure and Databricks. As a high-impact visionary you will define the standards for semantic modeling and data virtualization mentor engineering teams through complex production-ready designs and accelerate shovel-ready SAP initiatives that transform raw data into superior business outcomes.
Core Responsibilities
- Architectural Leadership: Lead the design and implementation of SAP data analytics and AI strategies across multiple product and platform teams.
- Standardization & Governance: Establish enterprise-wide standards for DataSphere BW/4HANA SAC and CDS views ensuring seamless S/4HANA integration.
- Hybrid Data Modeling: Design complex semantic and virtualized models that blend SAP and non-SAP sources into a cohesive high-performance pipeline.
- Technical Mentorship: Guide and mentor data engineers by providing documented production-grade architectural blueprints and best practices.
- Strategic Alignment: Partner with Enterprise Architecture and Data Governance teams to ensure SAP initiatives support broader organizational goals and agile workflows.
Qualifications
- Education: Bachelors degree in Computer Science Information Systems or Data Engineering (Masters degree highly preferred).
- Professional Experience: 8 years of deep technical leadership in SAP data engineering and analytics environments.
- Modernization Expertise: Proven track record in SAP S/4HANA migrations including the adoption of DataSphere and BW/4HANA.
- Technical Ecosystem: Expert-level knowledge of MDG data quality frameworks AI/ML enablement and cloud integrations (specifically Databricks/Azure).
- Certifications: Active SAP or Cloud Provider (Azure/AWS/GCP) certifications are strongly preferred.
- Soft Skills: Exceptional ability to translate complex SAP architectures into actionable guidance for non-technical stakeholders and agile teams.
Required Skills :
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
N/A
Stipend :false
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