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We are currently seeking a SAP_Datasphere_SAC_Developer Consultant to join our team in Hyderabad, Telangana (IN-TG), India (IN).
We are looking for a Senior SAP Business Data Cloud/Datasphere & SAC Analytics Architect/Developer to lead the design and delivery of enterprise‑scale analytics solutions. This role requires deep expertise in semantic modeling, data architecture, and advanced analytics development across SAP’s cloud data ecosystem.
Key Responsibilities
SAP Business Data Cloud / SAP Datasphere Leadership
Architect and implement enterprise‑grade semantic models, analytical datasets, and business data layers.
Lead integration enterprise strategies between SAP Business Data Cloud, Datasphere and SAP S/4HANA, Ariba, SuccessFactors, HANA, BTP, and other cloud data sources (Snowflake or Databricks).
Design data modeling frameworks, reusable objects, and governance standards.
Drive performance optimization of data pipelines, transformations, and replication strategies.
Ensure data quality, lineage, metadata standards, and security policies.
Act as a subject matter expert for Business Data Fabric and Data Mesh design.
SAP Analytics Cloud (SAC) Expertise
Develop complex SAC dashboards, analytic applications, and KPI‑rich visualizations.
Build scalable SAC models aligned with Datasphere semantics.
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Implement advanced scripting using Analytics Designer.
Lead design standards, UX frameworks, and enterprise KPI definitions.
Manage SAC lifecycles within BDC and standalone tenants including transport, versioning, and security.
Strategic Collaboration
Translate business needs into enterprise data products.
Mentor junior developers and analysts.
Partner with architects and data teams to deliver end‑to‑end solutions.
Influence roadmap development for Datasphere, SAC, and analytics modernization.
Operational Excellence
Lead troubleshooting across modeling layers and optimize performance.
Produce documentation, modeling standards, and reusable templates.
Participate in governance and architecture forums.
Required Qualifications
7+ years in SAP Analytics with deep SAC and SAP data modeling expertise.
5+ years hands‑on with SAP Datasphere
Experience with BW/HANA modeling and Layered Scalable Architecture++ (LSA++) design.
Mastery of semantic modeling, datasets, Spaces, analytical models, and data flows.
Good technical understanding of Virtual Data Model (VDM) and CDS (Core Data Services) Views.
Experience integrating with S/4HANA, Integrated Business Planning, Ariba, SuccessFactors, HANA, Datasphere, and SAP BTP.
Proven ability to lead architecture discussions and mentor teams.
Preferred Qualifications
Experience with SAP BTP services.
Exposure to SAP Business Data Cloud and Data Product concepts.
SAC Planning expertise.
Certifications in SAC, Datasphere, HANA, or BW.
Technical fluency in ABAP, SQL, Python, and modern modeling frameworks.
Soft Skills
Strong leadership and communication skills.
Executive‑level presentation capabilities.
Highly collaborative, proactive, and strategic.
Strong ownership mindset
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.
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