Key skills
PythonSQLAIMLLLMBusiness IntelligenceDatabricksSparkKafkaAirflowAWSS3RDSGlueKinesisProduct ManagementCollaboration
About this role
Description
We’re growing and looking to hire a Data Platform Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Seeking a technical expert to modernize and build our next-generation data platform, driving the architecture of scalable pipelines and robust microservices. This role champions technical excellence and the seamless flow of data across our global cybersecurity ecosystem.
Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity.
At Claroty, our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all Claroty products, delivering deep visibility across CPS environments—without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
Responsibilities
As a Data Platform Engineer, Your Impact Will Be:
- Platform Modernization: Shape and develop the core technology of our Data Platform, moving from design to implementation to support AI research and business intelligence.
- Scalable Pipeline Engineering: Design and build complex, distributed data pipelines that ingest, manipulate, and move data from a wide variety of sources at massive scale.
- Software Excellence: Build and maintain high-performance microservices and APIs that interface with our data ecosystem, ensuring low-latency and high reliability.
- Cross-Functional Collaboration: Partner closely with Software Engineering, AI Research, and Product Management to transform abstract data needs into real-world customer value.
- Data Reliability: Implement best practices for data management, quality assurance, and security within our ecosystem.
- ML & AI Enablement: Integrate and manage robust data flows that directly power our ML and LLM pipelines in production environments.
Requirements
What do you need to succeed in this role?
- 4+ years as a Data or Software Engineer in cloud-native, high-scale environments
- Strong Proficiency in Python and Microservices architecture
- Expertise in Spark and distributed data processing at scale
- Deep Knowledge of AWS ecosystem (S3, Glue, RDS, EMR)
- Strong SQL skills and experience optimizing complex query executions
- Proven Experience with data modeling for high-scale, large volume data sets
- Experience with modern orchestration tools like Airflow
- Experience with Real-time streaming (Kafka, Kinesis, or Flink)
- Experience supporting ML/LLM pipelines and Vector Databases (Advantage)
- Experience with Databricks or SingleStore (Advantage)
About Claroty
Claroty has redefined cyber-physical systems (CPS) protection with an unrivaled industry-centric platform built to secure mission-critical infrastructure. The Claroty Platform provides the deepest asset visibility and the broadest, built-for-CPS solution set in the market comprising exposure management, network protection, secure access, and threat detection – whether in the cloud with Claroty xDome or on-premise with Claroty Continuous Threat Detection (CTD). Backed by award-winning threat research and a breadth of technology alliances, The Claroty Platform enables organizations to effectively reduce CPS risk, with the fastest time-to-value and lower total cost of ownership. Our solutions are deployed by over 1,000 organizations at thousands of sites across all seven continents.
A Great Place to Work® certified company, Claroty is headquartered in New York City with employees across the world. The company is widely recognized as the industry leader in CPS protection, with backing from the world’s largest investment firms and industrial automation vendors, named a Leader in The Forrester Wave™: IoT Security Solutions, Q3 2025, recognized by KLAS Research as Best in KLAS for Healthcare IoT Security five years in a row, and ranking on the Forbes Cloud 100 and Deloitte Technology Fast 500 for multiple consecutive years.
Claroty is an equal-opportunity employer committed to fostering a diverse and inclusive work environment for all. We encourage applications from candidates of ALL diverse backgrounds, and special accommodations are available upon request in all selection phases.
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