Senior Data Platform Engineer - Iceberg, Spark & Data Lakes

ServiceNow, Inc.; Santa Clara (CA); Hybrid; USD 201,000 - 352,000; Full time

Benefits offered by this job

Health plans

401(k) plan with company match

Employee stock purchase plan (ESPP)

Flexible time away

Family leave

Job summary

ServiceNow, Inc. is seeking a Senior Staff Engineer to architect and deliver large-scale, distributed platform components within the Data Platform group.

You will lead complex initiatives, drive best practices, and design scalable data ingestion pipelines and Data Lake solutions for high-throughput environments. You will collaborate with multiple engineering teams to refine requirements, troubleshoot production issues, and shape the platform's future while staying hands-on with code and

Qualifications

• 10+ years of software development experience with a Bachelor's degree; or 8+ years with a Master's; or 6+ years with a PhD.
• Strong fundamentals in distributed systems architecture, design patterns, and algorithms.
• Experience building and operating large-scale distributed systems.
• Experience with data lakes and data ingestion pipelines.

Responsibilities

• Architect and deliver large-scale distributed platform components.
• Lead complex technical initiatives and define engineering best practices.
• Design, implement, and operate data ingestion pipelines and Data Lake solutions.
• Collaborate across teams to refine requirements and deliver end-to-end solutions.
• Provide technical leadership for high-risk projects and optimize performance.

Skills

Distributed systems

Data ingestion pipelines

Data Lake architectures

Java

JVM performance tuning

Kafka

Spark

Team leadership

Education

Bachelor's degree in Computer Science

Master's degree (preferred)

Tools

Apache Iceberg

Apache Spark

Kafka

Oracle / MySQL / PostgreSQL

Job description

ServiceNow, Inc. is seeking a Senior Staff Engineer to architect and deliver large-scale, distributed platform components within the Data Platform group.

You will lead complex initiatives, drive best practices, and design scalable data ingestion pipelines and Data Lake solutions for high-throughput environments. You will collaborate with multiple engineering teams to refine requirements, troubleshoot production issues, and shape the platform's future while staying hands-on with code and