SAP Datasphere Integration Engineer

Matrix USA; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

401K

Paid time off

Job summary

Matrix USA is seeking an experienced SAP Datasphere Integration Engineer to design, build, and support enterprise data integration solutions connecting SAP and non-SAP systems to modern cloud data platforms. You will work on data pipelines, models, and governance to enable scalable analytics across the organization.

The role requires hands-on SAP Datasphere expertise, strong cloud data warehousing knowledge (notably Amazon Redshift), and experience with Matillion and SAP BTP services.

Qualifications

• 4+ years in data engineering, data integration, SAP analytics, or SAP data architecture.
• Hands-on SAP Datasphere experience (formerly Data Warehouse Cloud).
• Strong knowledge of SAP source systems: S/4HANA, ECC, BW/BW4HANA.
• Experience with cloud data platforms, especially Amazon Redshift.
• Strong SQL and data modeling skills (star/snowflake/data vault).
• Experience with ODP, SLT, CDS Views and data integration patterns.

Responsibilities

• Design, build, and maintain data integration pipelines between SAP sources and SAP Datasphere.
• Develop and optimize data models, replication flows, and connections.
• Architect integration between SAP Datasphere and cloud data warehouses like Redshift.
• Develop ETL/ELT processes using Matillion or similar tools.
• Implement data replication strategies including real-time and CDC.
• Collaborate with data architects and stakeholders to align requirements.

Skills

SAP Datasphere

Data integration

SQL development

Cloud data warehousing

Matillion

Amazon Redshift

AWS fundamentals

Tools

Matillion

ODP

SLT

SAP BTP

Job 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
• 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.

EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.