SAP Datasphere Architect / Data Migration Architect

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a SAP Datasphere Architect / Data Migration Architect to join our team in Remote, Texas (US-TX), United States (US). Position Overview: We are seeking a highly experienced Senior SAP Business Data Cloud Architect to lead enterprise-scale analytics and data warehousing initiatives. This full-time role will focus on designing and implementing SAP’s modern data ecosystem leveraging SAP Datasphere, SAP Analytics Cloud (SAC), and Business Data Cloud. The ideal candidate will bring deep expertise in data modeling, semantic layers, and SAP’s emerging data product constructs and intelligent applications. Key Responsibilities: - Lead architecture and implementation of SAP Business Data Cloud solutions for analytics and enterprise data warehousing. - Design and build scalable data models and semantic layers using SAP Datasphere. - Define and operationalize SAP data product constructs for reusable, governed data assets. - Drive development of intelligent data applications leveraging SAP’s analytics and AI capabilities. - Architect end-to-end integration across SAP and non-SAP systems for unified data access. - Implement best practices in data governance, data quality, and lineage within Datasphere. - Lead SAC implementation including dashboards, planning, and advanced analytics scenarios. - Collaborate with business and functional teams to translate analytics requirements into robust data solutions. - Ensure performance optimization and scalability of data pipelines and analytical models. - Provide technical leadership, mentoring teams and enforcing design standards. Required Qualifications: - 12+ years of SAP data and analytics experience. - Proven experience as an architect/lead delivering SAP Datasphere projects. - Strong hands-on expertise with SAP Analytics Cloud (SAC) including reporting, dashboarding, and planning. - Deep understanding of SAP Business Data Cloud strategy and architecture. - Strong knowledge of SAP data product constructs and intelligent applications. - Experience in enterprise data warehousing, data modeling (e.g., star schema, data vault), and semantic modeling. - Experience integrating SAP and non-SAP data sources (e.g., S/4HANA, BW, cloud platforms). - Proficiency in SQL, data transformations, and performance tuning. - Strong communication and stakeholder management skills. Preferred Qualifications: - Experience with SAP BW/4HANA modernization or transformations. - Knowledge of SAP AI/ML capabilities within analytics landscape. - Experience with cloud platforms (AWS, Azure, GCP) in data architectures. - Familiarity with data governance tools and frameworks. Education: - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Leadership Expectations: - Act as a strategic advisor for enterprise data transformation initiatives. - Drive adoption of modern SAP data architecture principles. - Mentor teams and build analytics engineering capabilities. Location: Flexible / Remote (depending on business needs) Employment Type: Full-time About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us . NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. 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