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SAP Business Intelligence Architect
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-10-26
Listing for:
247Hire
Full Time
position Listed on 2026-10-26
Job specializations:
-
IT/Tech
Data Engineering, SAP Consultant
Job Description & How to Apply Below
We are seeking a highly experienced SAP Business Intelligence Architect to define and govern the enterprise analytics architecture landscape. The role will be responsible for designing scalable BI, data warehousing, and analytics ecosystems leveraging SAP BW/4
HANA, SAP Datasphere, SAP Analytics Cloud, SAP HANA, and modern cloud technologies to enable enterprise-wide decision-making.
- Define enterprise SAP BI and analytics architecture strategy.
- Design scalable data warehouse and analytics solutions using SAP BW/4
HANA and SAP Datasphere. - Architect end-to-end reporting ecosystems integrating SAP and non-SAP platforms.
- Establish enterprise data models, governance frameworks, and reporting standards.
- Design data acquisition, transformation, and storage strategies.
- Lead architecture reviews and provide technical governance across BI projects.
- Define integration approaches with SAP S/4
HANA, ECC, Success Factors, Ariba, Concur, and third-party systems. - Develop cloud analytics strategies leveraging SAP BTP and hyperscale platforms.
- Establish security, authorization, compliance, and data privacy frameworks.
- Drive adoption of self-service analytics and modern BI capabilities.
- Evaluate emerging SAP analytics technologies and recommend future-state architectures.
- Provide architectural leadership for large-scale transformation programs.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related fields.
- Deep expertise in SAP BW/4
HANA architecture. - Strong experience with SAP Datasphere, SAP Analytics Cloud, and SAP HANA.
- Expertise in enterprise data warehousing and Lakehouse architecture.
- Experience with SAP BTP and cloud-native analytics solutions.
- Strong understanding of data integration, ETL/ELT, and real-time analytics.
- Knowledge of Embedded Analytics, CDS Views, and Calculation Views.
- Experience designing analytics solutions for large global enterprises.
- Strong stakeholder engagement, governance, and architecture leadership capabilities.
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