Principal Database Engineer - Oracle Exadata
Listed on 2026-07-08
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IT/Tech
Data Engineering, Database Administrator, Cloud Computing: Infrastructure & Operations
Principal Database Engineer, Oracle Exadata, Multi Database and AI Ready Data Platforms
Location & Work Arrangement:
Remote is not an option, candidates must be willing to commute to one of the following hubs with a hybrid schedule of 4 days onsite and 1 day remote per week with flexibility in one of the following hubs:
- Phoenix, AZ
- Johnston, RI
- Boston, MA
- Iselin, NJ
- Plano or Irving TX
We are seeking a highly skilled and forward looking Principal Database Engineer with deep ownership of Oracle Exadata engineered systems, enterprise Oracle database platforms, and modern cloud native databases. This role is the senior technical and platform authority responsible for architecture, engineering standards, financial stewardship, and long term evolution of the enterprise database ecosystem across Exadata based on premise platforms, hybrid models, and public cloud environments.
The ideal candidate combines hands on Oracle and Exadata expertise, strong commercial and cost management awareness, and a strategic mindset for enabling analytics, machine learning, and Generative AI at enterprise scale.
Key Responsibilities Oracle Exadata Platform Ownership and Engineered Systems Leadership- Serve as the primary technical owner and architect for Oracle Exadata environments across database, compute, storage, and networking
- Define Exadata platform strategy, operating models, consolidation approaches, workload placement, and growth planning
- Lead performance engineering using Smart Scan, Hybrid Columnar Compression, ASM, RAC, IORM, and resource management
- Own capacity planning, utilization optimization, and expansion strategies balancing performance, availability, and cost
- Design and govern high availability and disaster recovery architectures using RAC, Data Guard, and Maximum Availability Architecture patterns
- Establish monitoring, diagnostics, and observability standards for proactive platform health management
- Partner with infrastructure teams on lifecycle management including patching, firmware alignment, upgrades, expansion, and decommissioning
- Act as the technical authority for Oracle licensing strategy aligned to architecture and deployment decisions
- Optimize licensing and support costs through processor and core analysis, feature usage governance, and environment right sizing
- Partner with finance, procurement, and legal on contract negotiations, renewals, audits, and true up activities
- Establish engineering guardrails to prevent licensing risk and cost leakage across on premise and cloud environments
- Evaluate deployment alternatives including Exadata Cloud at Customer and hybrid models with detailed cost benefit analysis
- Provide executive level insight into total cost of ownership, performance tradeoffs, and long term platform sustainability
- Serve as enterprise technical authority for Oracle and multi database platforms
- Administer and optimize Oracle databases including tuning, backup, recovery, security, and lifecycle management
- Provide expert guidance for MySQL, PostgreSQL, MongoDB, and other relational and No
SQL platforms - Design and review complex SQL, schemas, and access patterns supporting mission critical applications and analytics
- Define resiliency, scaling, and data protection architectures aligned to business RTO and RPO requirements
- Architect and support cloud database services primarily on AWS and Azure
- Lead database modernization and hybrid integration between Exadata and cloud platforms
- Establish standards for cloud database performance, cost optimization, security, and reliability
- Partner with cloud, infrastructure, and SRE teams on automation, observability, and reliability engineering
- Architect databases supporting advanced analytics, machine learning, and Generative AI workloads
- Enable AI ready data performance including high throughput, low latency, and scalable access patterns
- Support data integration, replication, and streaming using Kafka, Golden Gate, and cloud native services
- Collaborate with data engineering teams on model…
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