Role &

responsibilities :

- Platform ownership : Lead the build and run of SAP Datasphere and SAC connectivity, data integration pipelines, and modelling standards.
- Architecture and design : Define integration patterns (live, federated, acquired), connectivity topologies (Cloud Connector, SDI/SDQ), and performance optimization (pushdown, caching).
- Security and compliance : Govern SSO/SAML, trusted connections, roles/authorizations, and data protection aligned to enterprise policies.
- Reliability and operations : Implement end-to-end monitoring, alerting, SLAs, runbooks, and incident/problem management for connectors, agents, and data pipelines.
- Collaboration and leadership : Partner with SAP functional teams, data/analytics, network/security, and business stakeholders; mentor engineers and enforce standards.
- Collaborate with cross-functional teams, contributing to the solution design and integration of SAC and Datasphere in end-to-end business processes.

Preferred candidate profile :

- Degree in Computer Science, Business Informatics or a comparable degree.
- Overall, 8-10 years of experience and at least 2-3 years experience working on SAP SAC / Datasphere solutions as a platform engineer / platform owner or relevant role.
- Proven experience designing and implementing solutions utilizing SAC for planning, forecasting, and KPI reporting, as well as integrating with SAP Datasphere and upstream processes.
- Platform engineering and modelling : Lead Datasphere space/design modelling (semantic, fact/dimension, associations, hierarchies, measures) with solid performance optimization, cost control, and pipeline orchestration (federation, query pushdown).
- SAC solutions and usability : Deliver high-quality SAC stories, input templates, Analytics Designer apps, and guided workflows, emphasizing usability, governance, and performance; manage live/import models and secure refresh scheduling.
- Enterprise connectivity and security :



Own live/acquired connectivity across S/4HANA, Datasphere, and non-SAP sources using Cloud Connector, Destination service, OData/JDBC, SDI/SDQ, remote tables; enforce SSO/SAML, trusted connections, RBAC, and compliance.
- Operations, monitoring, and resilience : Establish observability (health checks, alerts), error handling, auto-recovery, and SLA-driven operations; optimize performance via partitioning, caching, and connectivity tuning.
- Governance and quality assurance : Define standards, naming conventions, data lineage, Data products and catalogue/metadata; drive testing (strategy, UAT, performance), defect management, and produce architecture/design documentation, runbooks, and user guides.
- DevOps and lifecycle management : Manage environment promotion (dev/test/prod), transport/deployment tooling, dependencies, and release readiness; oversee incident, problem, and change management.
- Stakeholder engagement and troubleshooting : Translate senior stakeholder requirements, prioritize value, and drive adoption; perform root-cause analysis across network/security/SAP basis/Datasphere/SAC with strong communication and diagnostic skills.
- SAP Coordination : Manage SAP OSS notes, service requests, and vendor engagements; evaluate and roll out feature packs and roadmap items.
- FinOps and cost optimization : Implement cloud cost governance for Datasphere and SAC, including usage analytics, right-sizing, tagging/chargeback, budget forecasting, and cost guardrails; drive performance-to-cost optimization.
- License management and entitlement governance : Administer SAC license allocations (BI, Planning) and Datasphere capacity; monitor active vs dormant users, reclaim and reassign entitlements, ensure compliance with contract terms, and report license utilization and optimization opportunities to leadership.
- Excellent communication skills and ability to work in an Agile environment.
- Energetic, organised and self-motivated.
- Fluent in business English.

📌 NTT DATA - Platform Engineer - SAP Analytics Cloud & Datasphere (India)
🏢 NTT DATA INFORMATION PROCESSING SERVICES
📍 India