DescriptionWe 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 data platform environments.
- Exposure to additional cloud data platforms such as Snowflake, Databricks, or Azure Synapse Analytics.
Success Factors
- Delivering scalable, reliable, and secure data integration solutions across SAP and non-SAP ecosystems.
- Enabling trusted analytics through high-quality data architecture and governance practices.
- Optimizing data movement and platform performance while controlling operational costs.
- Partnering effectively with stakeholders to drive successful delivery of enterprise data initiatives.
- Contributing to continuous improvement through innovation, automation, and adoption of emerging SAP and cloud technologies.
Matrix offers a competitive base salary and a complete benefit package. Benefits include medical, dental, 401K, STD, HSA, and PTO.
