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- Location
- Kolkata, KDC1A, India · Bengaluru · Hyderabad · Bhubaneswar · Ahmedabad
- Type
- Full-time
- Department
- Engineering
- Source
- Workday
Description
Project Role : Technology Platform Engineer
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
Must have skills : SAP HANA DB Administration
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent
Build and operate AI native, mission critical SAP HANA database platforms by combining deep SAP HANA database administration expertise with agentic AI capabilities (LLMs + tools + retrieval + evaluation). This role focuses on intelligent, autonomous ready database operations—predicting issues before impact, automating corrective actions, optimizing performance continuously, and enabling self healing behaviors—while ensuring security, reliability, and compliance across enterprise landscapes.
Core Responsibilities
1) SAP HANA Database Administration & Lifecycle Management
Administer SAP HANA databases across development, quality, and production environments.
Perform installation, configuration, upgrades, patches, revisions, and database migrations with minimal disruption.
Manage database start/stop, system replication, backups, restores, and recovery operations.
2) Performance Tuning & Resource Optimization
Monitor and tune HANA memory, CPU, disk, and I/O utilization to meet performance SLAs.
Analyze expensive statements, execution plans, and workload patterns to identify and resolve bottlenecks.
Optimize data distribution, partitioning, and table management strategies.
3) High Availability, Backup & Disaster Recovery
Implement and operate HANA system replication, backup, and recovery strategies aligned with business RTO/RPO objectives.
Regularly test failover and recovery procedures to ensure operational readiness.
Design resilient database configurations that minimize downtime and data loss.
4) Security, Compliance & Data Protection
Enforce database level security: users, roles, privileges, encryption, auditing, and secure connectivity.
Support regulatory and compliance requirements through controlled configurations and traceable operations.
Implement data protection and privacy controls for sensitive enterprise data.
5) AI Native Database Operations (Intelligent DBA)
Build database operations agents that analyze telemetry (metrics, logs, alerts, SQL behavior) to:
o Detect anomalies and early warning signs of degradation.
o Recommend or execute pre approved tuning and corrective actions (cleanup, reorganization, parameter adjustments).
Use retrieval grounded intelligence drawing from runbooks, historical incidents, configuration baselines, and performance guides to ensure AI recommendations are accurate and auditable.
Enable conversational diagnostics for DBAs and architects (e.g., why is memory usage spiking , what changed after the last deployment ).
6) Predictive Monitoring & Self Healing Patterns
Implement predictive alerting for capacity exhaustion, performance regression, and instability.
Design self healing workflows with safeguards: automated remediation, verification checks, rollback logic, and human approvals for high impact actions.
Continuously improve detection and remediation accuracy using feedback loops.
7) Quality Engineering & Evaluation Loops (DB + AI)
Define KPIs for database health, stability, and AI effectiveness (false alerts, tuning accuracy, MTTR reduction).
Establish evaluation harnesses using simulated incidents, golden configurations, and historical workloads.
Continuously refine AI prompts, tools, and automation logic based on real production outcomes.
8) Collaboration & Platform Evolution
Partner with Basis, application, integration, and infrastructure teams to ensure end to end system reliability.
Support platform modernization initiatives including cloud, hybrid, and multi region HANA deployments.
Maintain clear operational documentation and enablement for sustainable operations.
Primary Skills (AI Native Must Have)
Strong hands on expertise in SAP HANA database administration.
Deep understanding of HANA internals: memory management, persistence, performance tuning, and replication.
Proven experience operating high availability, business critical database environments.
AI native capability: tool augmented automation, retrieval grounded diagnostics, evaluation loops, and safe action boundaries.
Secondary / Strongly Beneficial Skills
Experience with SAP HANA on cloud and hybrid infrastructures.
Familiarity with monitoring, observability, and automation frameworks used in enterprise database operations.
Knowledge of enterprise security, compliance, and data protection standards.
Scripting or automation skills to support operational tooling.
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 available and high performance SAP HANA databases through predictive, AI driven administration.
Faster incident resolution and reduced operational effort via intelligent automation and grounded diagnostics.
Scalable, future ready database platforms supporting enterprise and AI workloads with strong governance.
Additional Information
A 15 years full time education is required15 years full time education
Project Role Description : Creates production and non-production cloud environments using the proper software tools such as a platform for a project or product. Deploys the automation pipeline and automates environment creation and configuration.
Must have skills : SAP HANA DB Administration
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
AI Powered Tech Talent
Build and operate AI native, mission critical SAP HANA database platforms by combining deep SAP HANA database administration expertise with agentic AI capabilities (LLMs + tools + retrieval + evaluation). This role focuses on intelligent, autonomous ready database operations—predicting issues before impact, automating corrective actions, optimizing performance continuously, and enabling self healing behaviors—while ensuring security, reliability, and compliance across enterprise landscapes.
Core Responsibilities
1) SAP HANA Database Administration & Lifecycle Management
Administer SAP HANA databases across development, quality, and production environments.
Perform installation, configuration, upgrades, patches, revisions, and database migrations with minimal disruption.
Manage database start/stop, system replication, backups, restores, and recovery operations.
2) Performance Tuning & Resource Optimization
Monitor and tune HANA memory, CPU, disk, and I/O utilization to meet performance SLAs.
Analyze expensive statements, execution plans, and workload patterns to identify and resolve bottlenecks.
Optimize data distribution, partitioning, and table management strategies.
3) High Availability, Backup & Disaster Recovery
Implement and operate HANA system replication, backup, and recovery strategies aligned with business RTO/RPO objectives.
Regularly test failover and recovery procedures to ensure operational readiness.
Design resilient database configurations that minimize downtime and data loss.
4) Security, Compliance & Data Protection
Enforce database level security: users, roles, privileges, encryption, auditing, and secure connectivity.
Support regulatory and compliance requirements through controlled configurations and traceable operations.
Implement data protection and privacy controls for sensitive enterprise data.
5) AI Native Database Operations (Intelligent DBA)
Build database operations agents that analyze telemetry (metrics, logs, alerts, SQL behavior) to:
o Detect anomalies and early warning signs of degradation.
o Recommend or execute pre approved tuning and corrective actions (cleanup, reorganization, parameter adjustments).
Use retrieval grounded intelligence drawing from runbooks, historical incidents, configuration baselines, and performance guides to ensure AI recommendations are accurate and auditable.
Enable conversational diagnostics for DBAs and architects (e.g., why is memory usage spiking , what changed after the last deployment ).
6) Predictive Monitoring & Self Healing Patterns
Implement predictive alerting for capacity exhaustion, performance regression, and instability.
Design self healing workflows with safeguards: automated remediation, verification checks, rollback logic, and human approvals for high impact actions.
Continuously improve detection and remediation accuracy using feedback loops.
7) Quality Engineering & Evaluation Loops (DB + AI)
Define KPIs for database health, stability, and AI effectiveness (false alerts, tuning accuracy, MTTR reduction).
Establish evaluation harnesses using simulated incidents, golden configurations, and historical workloads.
Continuously refine AI prompts, tools, and automation logic based on real production outcomes.
8) Collaboration & Platform Evolution
Partner with Basis, application, integration, and infrastructure teams to ensure end to end system reliability.
Support platform modernization initiatives including cloud, hybrid, and multi region HANA deployments.
Maintain clear operational documentation and enablement for sustainable operations.
Primary Skills (AI Native Must Have)
Strong hands on expertise in SAP HANA database administration.
Deep understanding of HANA internals: memory management, persistence, performance tuning, and replication.
Proven experience operating high availability, business critical database environments.
AI native capability: tool augmented automation, retrieval grounded diagnostics, evaluation loops, and safe action boundaries.
Secondary / Strongly Beneficial Skills
Experience with SAP HANA on cloud and hybrid infrastructures.
Familiarity with monitoring, observability, and automation frameworks used in enterprise database operations.
Knowledge of enterprise security, compliance, and data protection standards.
Scripting or automation skills to support operational tooling.
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 available and high performance SAP HANA databases through predictive, AI driven administration.
Faster incident resolution and reduced operational effort via intelligent automation and grounded diagnostics.
Scalable, future ready database platforms supporting enterprise and AI workloads with strong governance.
Additional Information
A 15 years full time education is required15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills
SQLSAPCompliance
