Voluble Systems
Principal SAP Data Architect
- Compensation
- Not disclosed
- Location
- Washington, USA
- Work setup
- Onsite
- Seniority
- Principal
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Education: Bachelor’s degree in Computer Science, Information Systems, or Data Engineering (Master’s 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.
Full description
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: Bachelor’s degree in Computer Science, Information Systems, or Data Engineering (Master’s 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.