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Accenture

Advises businesses and runs their technology

Forward Deployed Engineer

Full-TimeUpdated on 10/23/2026
No salary listed
Expert
Bengaluru, Karnataka, India
In Person
DevOps & InfrastructureDatabase Administration

About the job

Requirements
  • A minimum of 12 years of experience is required.
  • 15 years of full-time education is required.
  • Oracle Database Administration (DBA) is required.
  • Expertise in Oracle RAC, Data Guard, ASM, RMAN performance tuning, AWR/ASH analysis, schema design, and enterprise-scale high availability and disaster recovery implementation.
  • Expertise in SQL Server AlwaysOn Availability Groups, SSAS, SSIS, SSRS query tuning, execution plans, index optimization, and high availability configuration for financial services workloads.
  • Expertise in PostgreSQL streaming and logical replication, partitioning, VACUUM tuning, pg_stat analysis, and extensions including TimescaleDB, PostGIS, and Citus.
  • Expertise operating MongoDB replica sets and sharded clusters; optimizing aggregation pipelines and indexes; and working with Atlas and change streams.
  • Experience with AWS RDS/Aurora, including MySQL, PostgreSQL, and Oracle; GCP Cloud SQL/Spanner; and Azure Cosmos DB provisioning, high availability, replication, and cost optimization.
  • Experience configuring, orchestrating, deploying, and tuning CA SiteMinder authentication platforms and adapters.
  • Experience designing, installing, configuring, monitoring, and troubleshooting IBM WAS, WebLogic, JBoss, Tomcat, IBM IHS, and Apache.
  • Experience with IBM MQ queue-manager high availability clustering, channel security, dead-letter handling, adapter configuration, and performance tuning.
  • Experience using Terraform, Ansible, and Jenkins for database and middleware provisioning; Ansible for configuration management; and CI/CD 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 Prometheus/Grafana, Datadog, and ELK for database and middleware monitoring, 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 regulatory evidence production.
  • Oracle Database Certified Professional (OCP) certification is mandatory.
  • Microsoft SQL Server or Azure Data certification is mandatory.
  • MuleSoft Certified Developer or Architect certification is mandatory.
  • IBM WAS or IBM MQ certification is mandatory.
  • AWS Database Specialty certification is mandatory.
  • Terraform or Ansible Associate or Professional certification is mandatory.
Responsibilities
  • Design, build, and operate enterprise relational database platforms using 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 that meet RTO/RPO commitments for Tier 1 financial services workloads.
  • Improve 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.
  • Operate database observability, including 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 WAS, IBM IHS, Tomcat, and Apache HTTP Server platforms; operate brokers and clusters; and manage topic design, partition strategy, consumer groups, Schema Registry, and Kafka Connect pipelines.
  • Design and operate enterprise API gateway infrastructure using IBM WAS, IBM IHS, Tomcat, Apache HTTP Server, Istio, or Linked for microservices traffic management, mutual TLS enforcement, observability, and circuit breaking.
  • Build CI/CD 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.
  • 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.
  • Reduce operational toil through automation, improve platform reliability, and eliminate 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 to meet financial-services SLAs, RTO/RPO commitments, 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 SLO targets, with end-to-end tracing that enables fast and precise failure diagnosis.
  • Improve platform reliability quarter-on-quarter, reduce MTTR and toil, and drive engineering-team adoption of reusable infrastructure-as-code modules and integration patterns.
  • Serve as the hands-on domain authority for cross-functional application, cloud, security, and data teams, solving difficult problems and unblocking delivery.
Desired Qualifications
  • Experience with data-streaming architectures, including Debezium change data capture, 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 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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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

  • Health Insurance
  • Professional Development Budget
  • 401(k) Retirement Plan
  • 401(k) Company Match

Company News

Yahoo Finance
Oct 23rd, 2026
Accenture jumps 19% on earnings beat as SEC opens private assets to retail investors

Accenture shares rose about 19% after the consulting firm beat earnings and revenue expectations for its fiscal 2026 year, and guided fiscal 2027 slightly above Wall Street forecasts. Revenue grew 5% in local currency; management expects 3% to 6% growth next year. Non-GAAP operating margin edged up to 15.8%. The stock had dipped below 10 times expected earnings and now trades at about 14 times. Accenture said 65% of new bookings came from outcome-based fixed-price projects, which a Motley Fool contributor called a counterweight to AI's unpredictable costs. Separately, new US Securities and Exchange Commission rules aim to open private assets to retail investors. They raise the performance fee cap for registered advisers, add professional licences as a route to accredited investor status, and give private funds more leeway on redemptions.

Yahoo Finance
Oct 22nd, 2026
Accenture eyes $1.5B Greater China sale while building Gemini AI launchpads for US agencies

Accenture's federal arm, Accenture Federal Services, is working with Google Public Sector on Gemini launchpads for US federal agencies. The tools aim to help agencies build generative AI models into mission workflows and internal operations. Separately, Accenture is reviewing options for its Greater China business, including a possible sale. A deal was reported at up to $1.5 billion, and the company has hired JPMorgan to explore options. Accenture, a US-based IT consulting and managed services group, has a market value of about $141.3 billion. Investors are watching for contract wins from the Gemini work and any formal update on the China review.

Business Wire
Oct 21st, 2026
TÜV SÜD and Accenture unveil physical AI safety suite to bring factories online up to 30% sooner

TÜV SÜD and Accenture are working with NVIDIA technologies to speed up safety certification of robots in factories and warehouses. They unveiled a joint "Physical AI Safety Suite" at NVIDIA GTC Berlin. The suite uses digital twins, AI agents, and simulations to partly replace manual assessments. TÜV SÜD estimates the digital process could bring production online up to 30% sooner. Certification against standards such as ISO 3691-4 is mandatory in many industrial countries before automated facilities can start. At a medium-sized plant, agreeing on safety concepts can take several weeks. The suite checks layouts, robot fleets, and individual robots before deployment. TÜV SÜD provides independent assessment and keeps responsibility for certification.

Yahoo Finance
Oct 16th, 2026
Accenture caps staff AI spending at $29 a month after $1,000 bills

Accenture has capped employee AI spending at $29 (£21.75) a month after some staff ran up bills of $1,000, according to a report by 404 Media. The consulting firm wants to curb runaway costs as employees use AI for more everyday tasks. Companies are typically billed by usage, like a utility. Last week, some staff were told their access to Anthropic's Claude had been pulled entirely. Others are also reining in costs. Uber capped engineers' Claude spending at $1,500 a month after using up its AI budget in four months, while Microsoft has reportedly cut its Claude spending by about a third. The curbs come as Anthropic prepares for a public listing, targeting a valuation as high as $2tn. Investors are reportedly considering about $1.5tn.

Yahoo Finance
Oct 16th, 2026
Accenture's AI push: analysts see earnings reaching $10.3B by 2029 on 5.2% yearly revenue growth

Accenture is shifting AI work from pilots to deeply embedded systems, according to recent deals with UMass Memorial Health, Dell, Microsoft and Workday. The UMass Memorial project is a multi-year AI data platform, while the Dell alliance pitches private AI infrastructure to regulated clients. Analysts expect revenue to grow 5.2% a year over the next three years, with profit margins rising from 11.3% to 11.9%. They forecast earnings of $10.3 billion by 2029, up from $8.4 billion today, on revenue of $86.3 billion. The stock trades at a price-to-earnings ratio of 14.2x, against 21.9x for US IT peers. Risks include slower decision cycles in federal and EMEA work, which could curb consulting demand and margins.