Lead Principal Data Systems Software Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: —
Salary: $122,800–$306,400 / yr
Posted: 63 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $215k

$101k most similar roles pay here $328k

This role pays more than 70% of similar roles. Most pay $174,600–$220,800 — the shaded band above. At the midpoint, this role pays about $215k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Lead Principal Data Systems Software Engineer

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As a Lead Principal Data Systems Software Engineer, you will serve as a domain expert within the Data Services division, shaping product architecture and defining scalable patterns for microservices and data modeling, including spatial and graph structures. You will build new components, integrate in-database analytics and machine learning to enable features like fraud detection or personalization, and establish service-level objectives enforced through performance gates and production telemetry. Your daily work involves designing software systems, performing complex debugging of API integrations, and leading code reviews to ensure high quality and security compliance. You will utilize advanced knowledge of databases and storage systems architecture to solve technical challenges related to scalability and resiliency. The role requires expertise in the full software development lifecycle, including infrastructure maintenance, automated testing, and implementing innovative performance optimization strategies across various product areas.

Skills

Microservices Data Modeling Machine Learning In-database Analytics API Query Linting Observability Performance Engineering Scalability GenAI

What you'll do

Define scalable patterns for microservices, spatial/graph data modeling, and performance engineering across multiple product areas.
Integrate in-database analytics and machine learning to enable features like personalization and fraud detection.
Establish service-level objectives and enforce them through performance gates, query linting, and production telemetry.
Architect new and existing services while leading code reviews and technical strategy for the organization.
Resolve complex system issues and implement advanced API versioning, lifecycle, and interoperability strategies.
Lead initiatives to optimize software testing, quality assurance, monitoring, and observability for high-scale systems.
Collaborate with stakeholders to translate business requirements into technical designs and ensure customer satisfaction.
Implement secure software development practices and automated solutions to prevent security vulnerabilities.

What we're looking for

Must have 10+ years of experience in software engineering.
Must be able to read, write, and speak English.
Expertise in designing scalable microservices and data modeling including spatial and graph models.
Experience integrating in-database analytics and machine learning for personalization and fraud detection.
Ability to define and enforce service-level objectives through performance gates and production telemetry.
Proficiency in identifying and resolving complex software issues involving API functionality and integration.
Expertise in implementing secure software development practices and automated security solutions.
Experience leading technical strategy, architecture reviews, and mentoring across multi-functional teams.

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