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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SAP Datasphere, SAC, and AI Architect - **Company:** Data Inc - **Location:** Harrisburg, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** SAP Cloud, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Engineering, Information Systems, Data as a Services, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Visualization, Data Warehousing, DevOps, Executive Information Systems, Python (Programming Language), Machine Learning, Microsoft Software, Cloud Services, SuccessFactors, SAP (Applications), SAP NetWeaver Business Warehouse, SAP HANA, SAP Implementation, SAP NetWeaver Data Management, Systems Integration, Virtualization Technology, Enterprise Data Management, BI Launch Pad (Software), Google Cloud, Generative AI, SAP Business Technology Platform, SAPBasis, Data Lakes, Information Technology, Complex Event Processing, SAP S/4HANA, SAP Ariba, Data Management, Machine Learning Operations, Tools for Reporting, Data Pipelines, Programming Languages - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b1318cbea66d8818 ## About the Role Do you have experience in Systems integration?, * 8+ years of enterprise SAP data and analytics experience. * 5+ years of hands-on experience with SAP Datasphere and/or SAP Analytics Cloud. * Proven experience in architecting enterprise analytics and reporting platforms. * Experience implementing AI/ML or predictive analytics solutions in enterprise environments. * Proven experience, expertise, and strong understanding in: + SAP Datasphere. + SAP Analytics Cloud (SAC). + SAP Business Technology Platform (BTP). + Data modeling and enterprise analytics architecture. + Data warehousing concepts. + ETL/ELT processes. + Cloud-native architectures. + Data governance and security. + AI/ML lifecycle management. + Python or related analytics/programming languages. + APIs and integration services. + Data visualization and dashboard design. * SAP BW/4HANA, SAP HANA native modeling, SAP AI Core, and AI Launchpad, Generative AI integrations, and large-scale cloud data platforms. * Experience in utilities, telecommunications, finance, manufacturing, or public sector industries. * Experience with Agile, DevOps, and CI/CD delivery methodologies., + SAP Certified Application Associate - SAP Analytics Cloud. + SAP Certified Technology Specialist - SAP Datasphere. + SAP Certified Development Associate - SAP Extension Suite / SAP BTP. + SAP Certified Application Associate - SAP BW/4HANA. + Cloud certifications (AWS, Azure, Google Cloud). + AI/ML certifications from SAP, Microsoft, AWS, or Google preferred. * Bachelor's degree in Computer Science, Information Systems, Engineering, Business Technology, or a related technical discipline. * An equivalent combination of education and relevant experience may be considered. ## Description Data-Core Systems Inc. is seeking a SAP Datasphere, SAC, and AI Architect to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team., * Lead the architecture and design of enterprise data, analytics, and AI solutions leveraging SAP Datasphere, SAP Analytics Cloud (SAC), and SAP BTP. * Define data architecture standards, governance models, integration strategies, and best practices. * Design scalable and secure enterprise data models supporting reporting, analytics, planning, forecasting, and AI use cases. * Develop architecture roadmaps aligned with organizational digital transformation strategies. SAP Datasphere Architecture & Engineering. * Design and implement SAP Datasphere solutions for enterprise data integration, virtualization, modeling, and governance. * Architect data pipelines integrating SAP and non-SAP source systems. * Define semantic models, business layers, and data products for analytics consumption. * Optimize data performance, scalability, and security within Datasphere environments. * Establish data governance, lineage, cataloging, and quality management practices. SAP Analytics Cloud (SAC) Architecture. * Design enterprise reporting, dashboarding, and planning solutions using SAP Analytics Cloud. * Architect SAC models, stories, planning applications, and predictive analytics solutions. * Define KPI frameworks, executive dashboards, and operational reporting standards. * Support integration between SAC, Datasphere, SAP S/4HANA, BW/4HANA, and third-party data sources. * Optimize SAC performance, security roles, and user experience. AI & Intelligent Enterprise Solutions. * Lead the architecture and integration of AI/ML capabilities within SAP environments. * Evaluate and implement SAP AI technologies, including: + SAP AI Core. + SAP AI Launchpad. + Joule and Generative AI capabilities. + Predictive analytics and machine learning models. * Design AI-enabled use cases, including: + Forecasting. + Intelligent automation. + Predictive maintenance. + Customer analytics. + Financial insights. * Collaborate with data science teams to operationalize AI/ML models within enterprise workflows. Integration & Technical Leadership. * Architect integrations across: + SAP S/4HANA. + SAP BW/4HANA. + SAP BTP. + SAP SuccessFactors. + SAP Ariba. + External cloud platforms and data lakes. * Guide development teams on APIs, data services, event processing, and cloud-native integration patterns. * Ensure enterprise security, compliance, and performance standards are met. Governance, Security & Compliance. * Establish enterprise standards for: + Data governance. + Data quality. + Master data management. + Security and access controls. + AI governance and responsible AI practices. * Ensure compliance with organizational and regulatory requirements. Project Leadership & Stakeholder Engagement. * Lead architecture workshops, solution reviews, and technical strategy sessions. * Collaborate with business stakeholders to translate business requirements into scalable analytics and AI solutions. * Provide technical leadership and mentoring to developers, analysts, and engineering teams. * Communicate architecture decisions, risks, and recommendations to executive leadership. Documentation & Operational Support. * Develop and maintain architecture diagrams, standards, technical specifications, and operational procedures. * Support testing, deployment, cutover, and post-production stabilization activities. * Assist with production issue resolution and continuous improvement initiatives. ## Related Videos - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)