About the Company:
Our client is a global leader in cloud security, offering advanced solutions that protect data, users, and applications across cloud and web environments. It focuses on enabling secure digital transformation through visibility, threat prevention, and data protection. The company’s innovative platform supports a zero-trust approach and helps enterprises maintain compliance while improving productivity. It’s known for a robust culture of innovation, collaboration, and employee growth.
Role Overview:
The Data Platform team is uniquely positioned at the intersection of security, big data, and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, enabling them to act in near real-time.
We’re looking for a seasoned Backend Engineer with solid distributed systems experience and mandatory Data Platform architecture expertise to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using cloud and open-source data technologies.
Key Responsibilities:
You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics.
Your contributions will have a major impact on our global customer base and across the industry through our market-leading products.
You will solve complex, interesting challenges and improve the depth and breadth of your technical and business skills.
Build next-generation data pipelines for near real-time ingestion of security insights and intelligence data.
Design, architect, and scale distributed backend systems that power high-throughput, low-latency data platforms.
Drive Data Platform architecture initiatives leveraging technologies such as Snowflake, BigQuery, Databricks, and modern data lake ecosystems.
Partner with industry exper