Senior Real-Time Data Enrichment Platform Engineer

CrowdStrike; Redmond (WA); On-site; USD 195,000 - 290,000; Full time

Benefits offered by this job

Market-leading compensation

Wellness programs

Generous vacation

Parental leave

Professional development

Employee networks

Office culture

Great Place to Work Certified

Job summary

CrowdStrike in Redmond, WA, is seeking a senior data platform engineer to design and scale an analytics data platform handling petabytes of data with unified data catalog and query analysis. You will shape the platform vision and collaborate with teams to deliver self-service analytics using Spark and Flink.

You’ll work on performance tuning, distributed systems, and AI-enabled workflows while partnering with remote teams to deliver fast, reliable data capabilities.

Qualifications

• 17+ years exp with B.S. in a related field.

Responsibilities

• Shape the vision of our Analytics Data Platform for its next phase of growth: building a Unified Data Catalog as well as Query Analysis for structured data stored in different forms (columnar vs graph), and building and optimizing query performance using different techniques of indexing and data partitioning.
• Design, develop, and maintain a data platform that processes petabytes of data.
• Participate in technical reviews of our products and help us develop new features and enhance stability.
• Continually help us improve the efficiency of our services so that we can delight our customers.
• Help us research, evolve and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire.

Skills

Java

Scala

Kotlin

JVM

Spark

Flink

Iceberg

Pinot

Hadoop ecosystem

PostgreSQL/MySQL

NoSQL

Garbage collection

Distributed systems

Linux

Education

B.S. in related field

M.S. in related field

PhD in related field

Tools

Spark

Flink

Iceberg

Pinot

Hadoop ecosystem tools

Job description

CrowdStrike in Redmond, WA, is seeking a senior data platform engineer to design and scale an analytics data platform handling petabytes of data with unified data catalog and query analysis. You will shape the platform vision and collaborate with teams to deliver self-service analytics using Spark and Flink.

You’ll work on performance tuning, distributed systems, and AI-enabled workflows while partnering with remote teams to deliver fast, reliable data capabilities.