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SAP HANA Technical Architecture

Accenture


Job Location:

Pune - India

Monthly Salary: Not provided by the employer
Posted: 8 September 2026 (2 days ago)
Application Deadline: 6 December 2026
Vacancies: 1 Vacancy

Job Summary

Project Role : Database Administrator
Project Role Description : Design implement and maintain databases. Install database management systems (DMBS). Develop procedures for day-to-day maintenance and problem resolution.
Must have skills : SAP HANA Technical Architecture
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent
Design build and operate AI native high performance SAP HANA platforms by combining deep SAP HANA technical architecture expertise with agentic AI patterns (LLMs tools retrieval evaluation). This role focuses on architecting scalable resilient and intelligent HANA landscapes that support transactional analytical and AI enabled workloadswhile embedding predictive operations automated tuning and self healing capabilities into the core database and platform layer.
Core Responsibilities
1) SAP HANA Architecture & Platform Design
Design end to end SAP HANA system architectures across single node scale up and scale out deployments.
Define landscape strategies for development quality and production environments including high availability and disaster recovery.
Architect HANA platforms to support mixed workloads (OLTP analytics integration AI consumption) with clear isolation and governance.
2) Performance Scalability & Capacity Engineering
Design and continuously optimize HANA memory CPU storage and network configurations for enterprise scale performance.
Apply data tiering partitioning and workload management strategies to balance cost and performance.
Lead capacity planning and growth forecasting to ensure future ready landscapes.
3) High Availability Disaster Recovery & Resilience
Architect HA/DR strategies aligned to business RTO/RPO requirements.
Design failover replication backup and recovery patterns that are automated tested and observable.
Ensure resilience across infrastructure database and application layers.
4) Security Compliance & Platform Governance
Design secure HANA architectures covering encryption authentication authorization auditing and network isolation.
Enforce compliance and regulatory requirements through platform level controls and traceability.
Define standards and guardrails for HANA usage across application and integration teams.
5) AI Native Database Operations & Intelligence
Build database operations agents that analyze HANA telemetry (performance metrics logs alerts query plans) to:
oDetect anomalies and early warning signals.
oRecommend or execute pre approved tuning actions (indexing parameter adjustments cleanup) with human in the loop controls.
Implement retrieval grounded assistance using architecture standards historical incidents tuning guides and configuration baselines to ensure AI outputs are accurate and auditable.
Enable conversational diagnostics for architects and operators (e.g. why did latency spike what changed since last release ).
6) Query Optimization & Data Access Strategy
Define data modeling and access patterns that maximize HANA pushdown and minimize data movement.
Guide application and ABAP teams on efficient CDS SQL and calculation view usage from an architectural perspective.
Establish platform level performance benchmarks and optimization playbooks.
7) Observability Evaluation & Continuous Improvement
Define observability standards for HANA platforms: metrics traces alerts and capacity dashboards.
Establish evaluation loops for AI behaviors in platform operations (false positives recommendation accuracy MTTR improvement).
Continuously refine automation AI prompts and tooling based on real production outcomes.
8) Modernization Cloud & Ecosystem Integration
Support platform modernization initiatives including cloud adoption hybrid architectures and landscape consolidation.
Design HANA architectures that integrate cleanly with cloud services data platforms and AI runtimes.
Collaborate with Basis application integration and data teams to deliver end to end platform excellence.
Primary Skills (AI Native Must Have)
Deep expertise in SAP HANA technical architecture performance tuning and platform design.
Strong understanding of HANA internals: memory management persistence workload management and scaling strategies.
Proven experience designing HA/DR and resilient enterprise database landscapes.
AI native capability: building tool augmented workflows retrieval grounded recommendations evaluation loops and safe automation boundaries.
Secondary / Strongly Beneficial Skills
Experience with SAP HANA in cloud and hybrid infrastructures.
Strong collaboration skills with Basis ABAP data and infrastructure teams.
Exposure to automation frameworks and platform observability tools.
Knowledge of enterprise security and compliance requirements at the database/platform layer.
What This Role Does Not Center On
Training or fine tuning foundation AI models.
Reactive manual database administration without intelligence or automation.
Value Delivered
Highly performant and resilient SAP HANA platforms designed for enterprise and AI workloads.
Reduced downtime and faster issue resolution through predictive AI driven platform operations.
Scalable future ready HANA architectures with strong governance security and operational excellence.
Additional Information
A 15 years full time education is required.

Required Experience:

Staff IC


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