Principal DB Architect - Data Platforms - I&D

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

• 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

$36.98 - $57.79 an hour - Contract, Pulled from the full job description

• Health insurance
• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.