Senior Data Platform Engineer - Data Access Lead

SmartRecruiters, Inc.; San Diego (CA); Hybrid; USD 201,000 - 352,000; Full time

Benefits offered by this job

Health plans

401(k) match

ESPP

Matching donations

Flexible time away

Family leave programs

Job summary

ServiceNow is seeking a Senior Staff Data Platform Software Engineer for the Data Access Team. You will shape the data access layer, drive architectural decisions, and guide large-scale data access across heterogeneous engines. The role emphasizes performance, reliability, and cross-team collaboration in an AI-driven platform.

You will mentor engineers, own critical data features, and advance the platform to support enterprise workloads while balancing speed and quality in delivery.

Qualifications

• 12+ years of software development experience with a Bachelor’s degree, or 8+ years with a Master’s, or 5+ years with a PhD.
• Expert level with core Java development and backend platform development.
• Experience with relational databases (PostgreSQL, Oracle, MySQL) and distributed systems.
• Experience with automated testing and CI/CD pipelines; strong software quality and performance focus.

Responsibilities

• Set the technical direction for the data access layer and architecture strategy.
• Own features from design through delivery across multiple teams.
• Lead design and code reviews, emphasizing performance and maintainability.
• Define comprehensive test strategies including functional, regression, integration, and performance tests.
• Diagnose and resolve complex production issues; mentor engineers.

Skills

Java

Backend development

Distributed systems

Testing frameworks

CI/CD

Cloud experience

AI integration

Education

Bachelor's degree

Master's degree

PhD

Tools

PostgreSQL

Oracle

MySQL

Trino

Neo4J

RaptorDB

Job description

ServiceNow is seeking a Senior Staff Data Platform Software Engineer for the Data Access Team. You will shape the data access layer, drive architectural decisions, and guide large-scale data access across heterogeneous engines. The role emphasizes performance, reliability, and cross-team collaboration in an AI-driven platform.

You will mentor engineers, own critical data features, and advance the platform to support enterprise workloads while balancing speed and quality in delivery.