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Sap Datasphere Enterprise Data Solution Architect

  • Sap Datasphere Enterprise Data Solution Architect job type Posted on: Nov 12, 2026
  • Sap Datasphere Enterprise Data Solution Architect experience level Black Rock Groups
  • Sap Datasphere Enterprise Data Solution Architect employment type Cleveland, Ohio
  • Sap Datasphere Enterprise Data Solution Architect salary Salary: $88 per hour
  • Sap Datasphere Enterprise Data Solution Architect employment type Onsite
  • Sap Datasphere Enterprise Data Solution Architect salary Full-time

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Job Title :

Sap Datasphere Enterprise Data Solution Architect

Job Type :

Full-Time

Job Location :

Cleveland Ohio United States

Remote :

No

Jobcon Logo Job Description :

Role:- SAP Datasphere & Enterprise Data Solution Architect

Work Location :- Cleveland, Ohio( Onsite Role)

Mode of Hire:- Subcon

Payrate :- $88/h USD C2C

Visa:- Any

JD

SAP Datasphere & Enterprise Data Solution Architect

Role Purpose

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.

Key Accountabilities

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.

Candidate Profile

Required

  • 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.

What Success Looks Like

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.

Ideal Candidate in One Sentence

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.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

6835-40601

Employment:

Full-time

Salary:

$88 per hour

City:

Cleveland

Job Origin:

CIEPAL_ORGANIC_FEED

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Role:- SAP Datasphere & Enterprise Data Solution Architect

Work Location :- Cleveland, Ohio( Onsite Role)

Mode of Hire:- Subcon

Payrate :- $88/h USD C2C

Visa:- Any

JD

SAP Datasphere & Enterprise Data Solution Architect

Role Purpose

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.

Key Accountabilities

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.

Candidate Profile

Required

  • 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.

What Success Looks Like

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.

Ideal Candidate in One Sentence

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.

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at

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