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Accenture

Advises businesses and runs their technology

Forward Deployed Engineer

Database AdministrationConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 12 years of experience is required.
  • 15 years of full-time education.
  • Experience with IBM WebSphere Application Server application deployment.
  • Proficiency in Oracle engineering, including RAC, Data Guard, ASM, RMAN performance tuning, AWR/ASH analysis, schema design, and enterprise-scale high availability and disaster recovery implementation.
  • Proficiency in SQL Server engineering, including AlwaysOn availability groups, SSAS, SSIS, SSRS query tuning, execution plans, index optimization, and high availability configuration for financial services workloads.
  • Proficiency in PostgreSQL streaming and logical replication, partitioning, VACUUM tuning, pg_stat analysis, and extensions such as TimescaleDB, PostGIS, and Citus.
  • Proficiency in MongoDB replica set and sharded cluster operations, aggregation pipeline optimization, index strategy, Atlas operations, and change stream engineering.
  • Experience with AWS RDS/Aurora, GCP Cloud SQL/Spanner, and Azure Cosmos DB provisioning, high availability, replication, and cost optimization.
  • Experience with CA SiteMinder authentication platform and adapter configuration, process orchestration, high availability deployment, and performance tuning.
  • Experience designing, installing, configuring, monitoring, and troubleshooting IBM WebSphere Application Server, WebLogic, JBoss, Tomcat, IBM HTTP Server, and Apache HTTP Server.
  • Experience with IBM MQ queue manager high availability clustering, channel security, dead-letter handling, adapter configuration, and performance tuning.
  • Experience with Terraform, Ansible, and Jenkins for database and middleware provisioning; Ansible configuration management; and continuous integration and delivery pipelines for schema and integration deployment.
  • Experience with MuleSoft Anypoint Platform API design using RAML/OAS, DataWeave transformation, Mule runtime management, CloudHub deployment, and API-led connectivity.
  • Experience with database and middleware monitoring using Prometheus/Grafana, Datadog, ELK, slow query analysis, message lag alerting, and distributed tracing.
  • Knowledge of PCI DSS, SOX, and DORA compliance, database encryption including TDE and column-level encryption, audit logging, data residency, data masking, and producing regulatory evidence.
  • Mandatory certifications: Oracle Database Certified Professional (OCP); Microsoft SQL Server/Azure Data certification; MuleSoft Certified Developer or Architect; IBM WebSphere Application Server/IBM MQ certification; AWS Database Specialty; and Terraform/Ansible Associate or Professional.

Responsibilities

  • Organize deployment of AI workflows and architectures across diverse AI and technology platforms.
  • Facilitate solution design across enterprise technology stacks to integrate with AI models and multi-provider platforms.
  • Design, build, and operate enterprise relational database platforms including Oracle RAC, Data Guard, and ASM; SQL Server AlwaysOn, SSAS, and SSIS; and PostgreSQL across on-premises and cloud environments.
  • Engineer and maintain AWS RDS/Aurora, GCP Cloud SQL/Spanner, and Azure Cosmos DB services, including provisioning, high-availability configuration, replication, and automated failover.
  • Implement and operate MongoDB replica sets and sharded clusters for high-throughput, low-latency financial services workloads.
  • Build and maintain database automation, including infrastructure-as-code provisioning, schema migration pipelines, backup and restore validation, and patching automation.
  • Design and implement database high-availability, disaster-recovery, and business-continuity architectures meeting recovery time and recovery point objectives for Tier 1 financial services workloads.
  • Engineer database performance through query optimization, index strategy, execution plan analysis, wait-event diagnosis, and capacity right-sizing across platforms.
  • Implement and maintain database security controls, including TDE, column-level encryption, role-based access control, auditing, and data masking aligned with PCI DSS and SOX requirements.
  • Drive database observability through metrics collection, slow-query alerting, replication-lag monitoring, and capacity trending across on-premises and cloud environments.
  • Engineer and operate IBM MQ and RabbitMQ messaging infrastructure, including queue manager configuration, channel security, high-availability clustering, and dead-letter queue management.
  • Design and build IBM WebSphere Application Server, IBM HTTP Server, Tomcat, and Apache HTTP Server platforms, including broker cluster operations, topic design, partition strategy, consumer group management, schema registry, and Kafka Connect pipelines.
  • Engineer the CA SiteMinder authentication platform, including adapter configuration, process orchestration, high-availability deployment, and performance tuning.
  • Design and operate enterprise API gateway infrastructure and platforms including IBM WebSphere Application Server, IBM HTTP Server, Tomcat, Apache HTTP Server, Istio, or Linked for microservices traffic management, mutual TLS enforcement, observability, and circuit breaking.
  • Build continuous integration/continuous delivery and GitOps pipelines for middleware platform configuration, integration flow deployment, and schema lifecycle management.
  • Drive integration platform observability through distributed tracing, message-throughput dashboards, error-rate alerting, and end-to-end latency analysis across the integration stack.
  • Set platform engineering standards, reference patterns, and reusable infrastructure-as-code module libraries for database and middleware platforms.
  • Conduct production-readiness reviews and technical design assessments for data and integration workstreams.
  • Lead proof-of-concept engineering for emerging database and integration technologies and deliver evidence-based build-versus-buy recommendations.
  • Mentor senior and mid-level engineers in database internals, integration patterns, and production operations.
  • Drive continuous improvement by reducing toil through automation, improving platform reliability, and eliminating technical debt across the data and middleware estate.
  • Support audit, regulatory, and risk-management activities by producing platform configuration evidence, data-lineage documentation, and compliance reports.
  • Ensure database and middleware platforms are secure, observable, and reliably operated while meeting financial services SLAs, recovery time and recovery point objectives, and regulatory requirements.
  • Maintain comprehensive infrastructure-as-code coverage so database and middleware environments are reproducible, drift-free, and deployable through automated pipelines.
  • Maintain integration platform uptime and message-delivery reliability above service-level objectives, with end-to-end tracing to support failure diagnosis.
  • Improve platform reliability quarter over quarter, reduce mean time to recovery and toil, and promote adoption of reusable infrastructure-as-code modules and integration patterns.
  • Serve as the authoritative hands-on expert for cross-functional application, cloud, security, and data teams, resolving difficult problems and unblocking delivery.

Desired Qualifications

  • Experience with data-streaming architectures, including change data capture using Debezium, event sourcing, and CQRS patterns across Kafka and cloud messaging services.
  • Familiarity with GraphQL or AsyncAPI for API and event schema governance in integration platforms.
  • Exposure to FinOps practices for cloud database estate cost management across AWS, GCP, and Azure.
  • Background in database or integration platform consulting within financial services or regulated industries.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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