SAP Datasphere Integration Engineer

Description

We are seeking an experienced SAP Datasphere Integration Engineer to design, build, and support enterprise data integration solutions that connect SAP and non-SAP systems to modern cloud data platforms. This role combines SAP data architecture expertise with cloud-native data engineering capabilities to enable scalable, secure, and trusted analytics across the organization.

The ideal candidate possesses hands-on experience with SAP Datasphere and a strong background in cloud data warehousing, particularly Amazon Redshift . Experience with Matillion and SAP Business Technology Platform (BTP) services is highly desirable.
Key Responsibilities

- Design, develop, and maintain data integration pipelines between SAP source systems, including SAP S/4HANA, ECC, and BW/4HANA, and SAP Datasphere.

- Build, optimize, and maintain SAP Datasphere data models, views, replication flows, spaces, and connections.

- Architect and implement integration frameworks between SAP Datasphere and cloud data warehouses, primarily Amazon Redshift, ensuring scalability, performance, and reliability.

- Develop and support ETL/ELT processes using Matillion or similar integration platforms to orchestrate data movement across SAP and non-SAP environments.

- Implement and manage data replication strategies, including real-time, batch, and Change Data Capture (CDC) methodologies using SAP-native technologies such as SLT and ODP.

- Partner with data architects, business analysts, and stakeholders to translate business requirements into scalable and maintainable data solutions.

- Monitor, troubleshoot, and optimize data pipelines to improve performance, data quality, operational efficiency, and cost-effectiveness.

- Define and enforce data governance, security, and access-control standards across SAP Datasphere and downstream data platforms.

- Document data integration architectures, technical designs, data lineage, and operational procedures.

- Stay current on SAP Datasphere enhancements, SAP BTP capabilities, and cloud data platform best practices.

Required Qualifications

- 4+ years of experience in data engineering, data integration, SAP analytics, or SAP data architecture roles.

- Hands-on experience with SAP Datasphere (formerly SAP Data Warehouse Cloud), including:Space management

- Data modeling

- Connectivity and integration

- Data replication and federation

- Strong knowledge of SAP source systems, including:SAP S/4HANA

- SAP ECC

- SAP BW/BW4HANA

- Experience with SAP data extraction technologies such as:ODP (Operational Data Provisioning)

- SLT (SAP Landscape Transformation)

- CDS Views

- Proven experience with cloud data platforms, particularly Amazon Redshift .

- Strong SQL development and data modeling skills, including dimensional modeling, star schema, snowflake schema, and data vault methodologies.

- Solid understanding of data integration patterns, including:Batch processing

- Real-time integration

- Change Data Capture (CDC)

- API-based integrations

- Data federation

- Experience with cloud infrastructure concepts related to storage, compute, networking, and security, preferably within AWS environments.

- Excellent analytical, troubleshooting, and problem-solving capabilities.

- Strong communication skills with the ability to collaborate effectively across technical and business teams.

Preferred Qualifications

- Hands-on experience with Matillion for ETL/ELT development and orchestration.

- SAP certifications related to:SAP Datasphere

- SAP BW/4HANA

- SAP Business Technology Platform (BTP)

- Experience with SAP BTP services and integration capabilities.

- Familiarity with enterprise data governance, cataloging, and metadata management tools.

- Experience in consulting, professional services, or client-facing environments.

- Knowledge of Python, scripting, or automation frameworks used for data engineering workflows.

- Experience implementing CI/CD practices and DevOps methodologies within