Senior Data Platform Engineer - Oracle AI Lakehouse

JPI; Dallas, Northern (TX, KY); Ibrido; USD 120.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

4 weeks PTO

Medical, Dental, Vision

401(k) with company match

Phone reimbursement

Tuition assistance

Descrizione del lavoro

JPI is seeking a Senior Data Platform Engineer to own and operate our Oracle Autonomous AI Database environments and related analytics platforms. You will ensure 24x7 availability, drive performance improvements, and guide data architecture decisions across transactional and analytical workloads.

The role blends database operations with data engineering, emphasizing governance, automation, and collaboration with enterprise architects and analytics teams to scale our data platform.

Competenze

• 8+ years of experience as an Oracle DBA, including senior/lead responsibilities.
• Hands-on with Oracle Autonomous AI Database, Transaction Processing and Lakehouse workloads.
• Experience supporting both transactional and analytical workloads; strong SQL & PL/SQL skills.

Mansioni

• Administer day-to-day Oracle Autonomous AI Database environments; ensure availability and performance.
• Lead tuning for SQL, PL/SQL; plan patching and lifecycle maintenance.
• Define and uphold data platform standards, patterns, and governance across platforms.
• Collaborate with application teams to enable scalable data solutions and deployments.
• Support analytics workloads in Lakehouse and ensure secure, compliant configurations.

Conoscenze

Oracle DBA

Performance tuning

SQL optimization

Backup & recovery

High availability

Data platform ownership

Collaboration

Independence

Formazione

Bachelor's degree in Computer Science/Engineering/Info Systems

Strumenti

Oracle Autonomous AI Database

Oracle Cloud Infrastructure (OCI)

Lakehouse data platform

Descrizione del lavoro

JPI is seeking a Senior Data Platform Engineer to own and operate our Oracle Autonomous AI Database environments and related analytics platforms. You will ensure 24x7 availability, drive performance improvements, and guide data architecture decisions across transactional and analytical workloads.

The role blends database operations with data engineering, emphasizing governance, automation, and collaboration with enterprise architects and analytics teams to scale our data platform.