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# SAP BODS

- **Company:** Yochana IT Solutions
- **Location:** Beverly Hills, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Unit Testing, Data as a Services, Data Architecture, Data Integration, Data Security, Data Systems, Software Design Patterns, Systems Analysis, SAP (Applications), SAP NetWeaver Business Warehouse, SQL Databases, Systems Integration, Sap Business Objects, Data Lakes, Sap Bo, Integration Tests, Integration Frameworks, Data Management
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sap-bods-beverly-hills-ca--ff7cbd86-7176-495a-8c38-921d864f8b8e

## About the Role

SAP, SAP, SAP BusinessObjects, System Integration (SI), Data Analysis, Data Quality, Communication Skills, Business Services, Systems Analysis, Customer/Client Research, Job Description - BODS 10 years of proven development experience on Business Objects Data Services(BODS) system design, analysis and development is required. - Hands-on experience with SAP BO - Data Services, Data Quality transforms and Information Steward. - Hands on experience with SAP, Non-SAP source systems integration with Data Services(DS) and target systems. - Minimum one DS4.x Implementation, rollout/support required. - Hands-on experience with SAP BO - Data Services, Data Quality transforms and Information Steward. - Excellent communication, data analysis and client handling skills required. - Good command on SQL to perform data analysis. - Must have experience on unit testing, integration testing with documentation. - Experience or Command on SAP-BW/BO is an added advantage.

## Description

To design and establish scalable, secure, and high-performance data architecture that enables efficient data integration, storage, and consumption across the enterprise. Ensures alignment of data platforms with business and technology strategy.

Key Responsibilities

1.Define and maintain enterprise data architecture, standards, and design patterns

2.Design data models (conceptual, logical, physical) aligned to business requirements

3.Architect data platforms including data lakes, warehouses, and pipelines

4.Ensure scalability, performance, and reliability of data systems

5.Establish integration frameworks for structured and unstructured data sources

6.Collaborate with engineering teams on implementation and optimisation

7.Ensure compliance with data security, privacy, and governance policies

8.Evaluate emerging technologies and drive architecture evolution