SAP Analytics Cloud & Datasphere Platform and Ops Engineer

NTT DATA BUSINESS SOLUTIONS; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS is seeking an experienced platform engineer to own SAP Datasphere and SAC connectivity, data integration, and modelling standards. You will define integration patterns, optimally connect Cloud Connector, SDI/SDQ, and secure access with SSO/SAML while driving performance and cost efficiency.

You will lead governance, monitoring, and runbooks, mentor engineers, and collaborate with SAP teams, data/analytics and business stakeholders to deliver seamless end-to-end

Qualifications

• Lead build and run of SAP Datasphere and SAC connectivity and data pipelines.
• Define integration patterns, topologies and performance optimizations.
• Govern SSO/SAML, trusted connections and data protection in enterprise policies.
• Implement end-to-end monitoring, runbooks and incident management for connectors and data pipelines.
• Mentor engineers and enforce coding and architectural standards.
• Collaborate with SAP teams, data analytics, security and business stakeholders.

Responsibilities

• Platform ownership: build and run SAP Datasphere and SAC connectivity.
• Architecture and design: define integration patterns and performance tuning.
• Security and compliance: govern SSO/SAML and data protection.
• Reliability and operations: establish monitoring and SLA-driven runbooks.
• Collaboration: partner with cross-functional teams and mentor engineers.
• End-to-end integration of SAC and Datasphere in business processes.

Skills

SAP SAC

Datasphere

Data integration

Platform engineering

Security governance

Observability

DevOps

Stakeholder engagement

Architecture design

Performance tuning

Education

Bachelor's degree in CS/related

Tools

Cloud Connector

SDI/SDQ

Destination service

OData/JDBC

RBAC

SSO/SAML

Job description

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 strong 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, rightsizing, 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.