SAP Datasphere & Enterprise Data Solution Architect

Role:- SAP Datasphere & Enterprise Data Solution Architect, Provide solution architecture leadership for SAP-centric enterprise data, translating complex business and functional requirements into scalable data architectures across SAP Datasphere, Microsoft Fabric, SAP applications, data archives, and other enterprise data platforms.

This role is not simply a technical Datasphere specialist. The successful candidate will combine deep SAP functional understanding, strong data architecture and modeling expertise, and business-facing leadership to determine where data should reside, how it should be modeled, and how it should flow across Lubrizol’s SAP and Microsoft data ecosystem., Solution Architecture & Design

• Own end-to-end architecture for SAP data and analytics solutions spanning SAP Datasphere, Microsoft Fabric, SAP S/4HANA and other SAP applications, and archival platforms.
• Translate business requirements into pragmatic data architecture, integration, semantic modeling, and data lifecycle designs.
• Make clear architectural decisions on what belongs in Datasphere versus Fabric versus source/archive platforms, minimizing unnecessary duplication and complexity.
• Develop reusable architecture patterns and guardrails for SAP data acquisition, replication, transformation, modeling, consumption, retention, and archival.

SAP Functional & Data Expertise

• Bring deep hands-on expertise in SAP Datasphere, including data integration, modeling, semantic layers, Spaces, analytic models, and integration with the broader SAP ecosystem.
• Understand SAP business processes and underlying data structures, not simply SAP technology.
• Work comfortably across functional domains such as Order-to-Cash, Procure-to-Pay, Manufacturing, Supply Chain, Finance, and Master Data.
• Understand modern SAP data integration approaches and the architectural implications of extracting and consuming SAP data outside the SAP ecosystem.

Microsoft Fabric & Enterprise Data Architecture

• Understand Microsoft Fabric and OneLake sufficiently to architect solutions where Fabric is the enterprise data lakehouse and Datasphere provides SAP-focused data and semantic capabilities.
• Define effective integration and interoperability patterns between SAP Datasphere and Microsoft Fabric.
• Ensure designs align with enterprise standards for governance, security, data quality, lineage, performance, scalability, and cost.

Leadership & Business Partnership

• Act as the architecture leader and trusted advisor, not simply an implementer of requirements.
• Engage directly with business leaders, process owners, analysts, data teams, SAP functional teams, and technology partners.
• Challenge requirements constructively and recommend the best enterprise solution, balancing business value, simplicity, performance, maintainability, and cost.
• Clearly explain architectural options, trade-offs, and recommendations to both technical and non-technical audiences.
• Provide technical direction and design oversight to internal teams, implementation partners, and developers., A successful candidate will become the go-to architect for SAP data at Lubrizol, ensuring that business needs are translated into simple, scalable, governed, and future-ready solutions, while creating clear architectural boundaries and effective interoperability between SAP Datasphere and Microsoft Fabric.

SAP, Enterprise Architecture, SAP, Enterprise Architecture, Leadership, Microsoft Product Family, Ecosystems, Data Modeling, Business Model, Data Analysis, * 10+ years of experience in SAP, enterprise data, analytics, or related architecture roles.

• Deep expertise with SAP Datasphere and strong understanding of its architecture, modeling, integration, and semantic capabilities.
• Strong understanding of SAP functional processes and SAP data models, preferably across multiple functional domains.
• Demonstrated experience as a Solution Architect, Data Architect, or SAP Data Architect, designing end-to-end enterprise solutions rather than focusing solely on development.
• Working knowledge of Microsoft Fabric, OneLake, lakehouse architecture, and SAP-to-Microsoft data integration patterns.
• Strong capabilities in data architecture, dimensional/semantic modeling, integration architecture, data lifecycle, and archival concepts.
• Exceptional communication, facilitation, stakeholder-management, and architecture storytelling skills.
• Demonstrated ability to lead architecture decisions, challenge assumptions, and drive teams toward a recommended solution.

Highly Preferred

• Experience in the chemical, process manufacturing, or broader manufacturing industry.
• Experience with SAP S/4HANA transformation environments and large-scale enterprise data landscapes.
• Familiarity with SAP analytics/data technologies such as SAP BW/4HANA, SAP HANA, SAP Analytics Cloud, and SAP Business Data Cloud.
• Experience establishing architecture principles and governance across complex hybrid SAP + Microsoft environments., A senior, business-savvy SAP data architect who combines deep SAP Datasphere expertise with SAP functional knowledge, Microsoft Fabric familiarity, and the leadership and communication skills to make and drive sound enterprise architecture decisions.