SAP Datasphere Integration Engineer

Matrix Global•USA,

4h•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.