Principal SAP Data Architect (Onsite)

Washington, DC, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Agile
Amazon Web Services
Analytics
Artificial Intelligence
Bridging
Cloud Computing
Computer Science
Data Analysis
Data Engineering
Data Governance
Data Modeling
Data Quality
Databricks
Enterprise Architecture
Good Clinical Practice
Google Cloud Platform
IT Management
Information Systems
Leadership
Machine Learning (ML)
Mentorship
Microsoft Azure
Migration
Modeling
SAP
SAP BI
SAP HANA
Semantics
Soft Skills
Virtualization
Workflow

Summary

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/Google Cloud Platform) certifications are strongly preferred.
Soft Skills: Exceptional ability to translate complex SAP architectures into actionable guidance for non-technical stakeholders and agile teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10511447
Position Id: 8888803
Posted 5 hours ago

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