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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal DB Architect - Data Platforms - I&D - **Company:** Capgemini - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Salary:** $76,918.0 - $120,203.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Systems Engineering, User Authentication, Build Automation, Cloud Computing, Cloud Engineering, Configuration Management, Databases, Continuous Integration, Extract Transform Load (ETL), Data Masking, Data Warehousing, Database Security, Oracle Data Guard, DevOps, Oracle Exadata, Github, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, NoSQL, Online Transaction Processing, Oracle Databases, Oracle (Applications), Oracle Rac, Performance Tuning, Role-Based Access Control, Redis, Ansible, Prometheus, Recovery Manager (RMAN), Shell Script, Datadog, Scripting, Data Storage Management, Google Cloud, Oracle Enterprise Manager, Grafana, Database Optimization, Multi-Cloud, Reliability of Systems, Generative AI, Amazon Virtual Private Cloud (VPC), Database Migration, Kubernetes, Data Management, Machine Learning Operations, Cloud Migration, Database Monitoring, Terraform, Oracle Cloud Infrastructure, Multiplatform, Sql Tuning, Legacy Systems, Jenkins, Microservices - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f5139f3f17caa76d ## About the Role * 10+ years of experience in Oracle Database Engineering / Administration Deep expertise in: * RAC, Data Guard, GoldenGate, ASM * Exadata platforms (on-prem and cloud) Strong experience in: * Performance tuning and troubleshooting large-scale systems Hands-on experience with: * Cloud platforms (OCI, AWS, GCP) * Automation tools (Terraform, Ansible) * Scripting (Python, Shell) Experience in: * High-availability and mission-critical production environments Preferred Qualifications: Experience with: * Exadata Cloud@Customer (ExaCC) / Exadata@GCP Exposure to: * AI/ML applications in database operations Knowledge of: * Kubernetes, containers, microservices Experience with: * Enterprise audit and compliance frameworks * License optimization and cost modeling ## Description performance tuning Security & Compliance CI/CD Python oracle rac Google Cloud Platform (GCP) production support database migration shell scripting AI/ML The Enterprise Database Services (DBS) organization is responsible for managing and transforming a large-scale, mission-critical database ecosystem supporting thousands of applications across on-premises, Exadata platforms, and multi-cloud environments (OCI, AWS, GCP). As part of our 2026 strategic transformation, we are driving: * Exadata modernization (X6-X7/X9 ExaCC / Exadata@Cloud) * Cloud-first database migration strategy (OCI, AWS, GCP) * DBaaS and full lifecycle automation * AI/ML-driven database operations and observability * Enterprise audit, compliance, and security standardization, * We are seeking a highly experienced Senior Oracle Database Engineer / Lead to play a critical role in designing, engineering, and operating enterprise database platforms while driving modernization, automation, and cloud adoption initiatives. * This role will act as a technical leader and subject matter expert (SME) across Oracle platforms and will contribute to cross-platform database strategy, ensuring scalability, reliability, security, and cost optimization across the enterprise. Responsibilities: Oracle Platform Engineering & Lifecycle Management: * Architect, deploy, and manage Oracle databases (11g, 12c, 19c, 23c) across OLTP, Data Warehouse, and mixed workloads Lead engineering and operations of: * Oracle RAC (Real Application Clusters) * Data Guard (Active/Standby, DR strategy) * GoldenGate (real-time replication, zero-downtime migrations) * ASM (Automatic Storage Management) Manage full database lifecycle: * Provisioning, cloning, patching (RU/RUR cycles), upgrades, decommissioning * Drive standardization of database configurations, naming, and deployment models Exadata & Engineered Systems Leadership: Lead operations and engineering for: * Exadata X6, X7, X8, X9 platforms * Exadata Cloud@Customer (ExaCC) * Exadata Cloud / Exadata@GCP Plan and execute: * Platform upgrades and consolidations * Decommissioning of legacy systems (X6 phase-out) Optimize workloads for: * Smart Scan, storage indexes, I/O performance Partner with vendors (Oracle) for: * Patch strategy, performance tuning, and escalations Cloud Transformation & Migration: Lead large-scale database migrations to: * OCI (ExaCC, DBCS) * AWS (RDS, Aurora, EC2-based Oracle) * GCP (AlloyDB, Exadata@GCP) Execute migration strategies: * GoldenGate (zero downtime) * Data Pump, RMAN, logical replication Design and implement: * Hybrid and multi-cloud database architectures * Landing zones and network integrations (VPC, Transit VPC, Private endpoints) Drive cost optimization strategies: * BYOL vs License-Included * Resource right-sizing and storage optimization Database Automation & DBaaS (DevOps): * Design and implement Database-as-a-Service (DBaaS) frameworks Build automation using: * Terraform (IaC for infra provisioning) * Ansible (configuration management) * Python / Shell scripting (custom automation) Integrate database workflows into: * CI/CD pipelines (Jenkins, GitHub Actions) * Enable: * Self-service database provisioning * Automated patching and compliance enforcement Reduce manual effort through: * Standardized templates and reusable modules Performance Engineering & Optimization: Conduct deep performance analysis using: * AWR, ASH, ADDM reports Perform: * SQL tuning, indexing strategies, execution plan analysis Optimize: * High-throughput transactional systems * Batch and ETL workloads Drive: * Capacity planning, forecasting, and workload balancing Observability, Monitoring & AI/ML Integration: Implement enterprise monitoring using: * Oracle Enterprise Manager (OEM) * Foglight * Datadog, Prometheus, Grafana Develop and support: * AI/ML-based predictive failure detection * Anomaly detection models for performance and capacity Leverage Generative AI tools to: * Automate incident triage * Improve operational efficiency Partner with AI/ML teams to build: * Next-gen intelligent database operations (AIOps) Security, Risk & Compliance: Enforce enterprise database security standards: * TDE (Transparent Data Encryption) * Data masking, auditing, and access controls Support compliance frameworks: * SOX, internal audit, risk exceptions Integrate with enterprise tools: * Imperva (database activity monitoring) * Archer, Kenna (risk tracking) Ensure: * Secure authentication (SSO, EntraID integration) * Role-based access control (RBAC) Multi-Platform Database Ecosystem Support: Collaborate across heterogeneous database platforms: * SQL Server * PostgreSQL * MongoDB / DocumentDB * Redis / NoSQL systems Support enterprise initiatives: * Database consolidation * Cross-platform migration strategies Leadership, Collaboration & Governance: * Act as a technical lead / SME for Oracle platforms Mentor junior engineers and drive: * Cross-training initiatives (70%+ skill coverage goals) Partner with: * Architecture, Cloud Engineering, Security, Application teams Contribute to: * Database governance boards * Standards, RACI models, and intake processes Participate in: * 24x7 production support and escalation handling, * Enterprise Database Architecture * Cloud & Hybrid Infrastructure * Automation & DevOps (DBaaS) * Performance & Scalability Engineering * Security & Compliance Governance * AI/ML & Observability * Leadership & Stakeholder Management Business Impact / Why This Role Matters: * Enables successful execution of 2026 cloud migration programs * Supports Exadata modernization and consolidation strategy * Drives automation and DBaaS transformation, reducing operational overhead * Improves system reliability, performance, and security posture * Contributes to AI/ML-driven next-generation database operations Mitigates risks to: * Production stability * Migration timelines * Compliance and audit readiness ## Related Videos - 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