SAP Datasphere Integration Engineer

Accountabilities

• • Design, develop, and maintain scalable data integration pipelines connecting SAP S/4HANA, ECC, BW/4HANA, and other source systems with SAP Datasphere.
  • Build and optimize SAP Datasphere data models, views, spaces, replication flows, and system connections.
  • Architect and implement integration frameworks between SAP Datasphere and cloud data warehouses, particularly Amazon Redshift, with a focus on scalability, performance, reliability, and cost efficiency.
  • Develop and support ETL/ELT workflows using Matillion or comparable integration technologies to orchestrate data movement across SAP and non-SAP environments.
  • Implement and manage batch, real-time, and Change Data Capture (CDC) replication strategies using SAP technologies such as SLT and ODP.
  • Translate business and technical requirements into scalable, maintainable, and secure data integration solutions in collaboration with architects, analysts, and stakeholders.
  • Monitor, troubleshoot, and optimize data pipelines to improve data quality, processing performance, operational efficiency, and platform costs.
  • Establish and maintain data governance, security, access-control, and data quality standards across SAP Datasphere and downstream platforms.
  • Document integration architectures, technical designs, data lineage, data models, and operational procedures to support long-term maintainability.
  • Contribute to continuous improvement initiatives by identifying opportunities for automation, performance optimization, and more efficient data engineering practices.
  • Stay current with SAP Datasphere enhancements, SAP Business Technology Platform capabilities, AWS developments, and modern cloud data engineering practices.

  Requirements

  • 4+ years of professional experience in data engineering, data integration, SAP analytics, SAP data architecture, or a closely related discipline.
  • Hands-on expertise with SAP Datasphere, including space management, data modeling, connectivity, integration, data replication, and data federation.
  • Strong understanding of SAP source systems, including SAP S/4HANA, SAP ECC, and SAP BW/BW/4HANA.
  • Experience with SAP data extraction technologies such as Operational Data Provisioning (ODP), SAP Landscape Transformation (SLT), and CDS Views.
  • Proven experience working with cloud data platforms, particularly Amazon Redshift.
  • Strong SQL development and data modeling capabilities, including dimensional modeling, star schemas, snowflake schemas, and data vault methodologies.
  • Solid understanding of data integration patterns, including batch processing, real-time integration, CDC, API-based integration, and data federation.
  • Knowledge of cloud infrastructure concepts covering storage, compute, networking, and security, preferably within AWS environments.
  • Strong analytical, troubleshooting, and problem-solving skills with the ability to diagnose complex data integration issues.
  • Excellent communication and collaboration skills, with the ability to work effectively across technical, business, and stakeholder groups.
  • Hands-on experience with Matillion for ETL/ELT development and orchestration is preferred.
  • SAP certifications in Datasphere, BW/4HANA, or SAP BTP are advantageous.
  • Experience with SAP BTP services and integration capabilities is a plus.
  • Familiarity with enterprise data governance, data cataloging, and metadata management tools is beneficial.
  • Consulting, professional services, or client-facing experience is desirable.
  • Knowledge of Python, scripting, or automation frameworks used in data engineering workflows is a plus.
  • Experience with CI/CD and DevOps practices within data platform environments is advantageous.
  • Exposure to additional cloud data platforms such as Snowflake, Databricks, or Azure Synapse Analytics is beneficial.

  Benefits

  • Competitive base salary.
  • Comprehensive benefits package.
  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Short-Term Disability (STD) coverage.
  • Health Savings Account (HSA).
  • Paid Time Off (PTO).
  • Opportunity to work on complex enterprise data and cloud transformation initiatives.
  • Exposure to modern SAP, cloud, integration, and data engineering technologies.
  • Collaborative environment with opportunities for professional growth and continuous learning.
  • Opportunity to contribute to innovative solutions across diverse industries and business environments.
  • Equal opportunity workplace committed to a professional environment free from discrimination and harassment.