About the role
Your Impact Join a small team building the next generation of cybersecurity products from the ground up. Led by industry veterans with a proven track record of success - you will get to architect, build, and deliver hugely impactful products with this world-class team. You will have the opportunity to grow your career and skills along with the company from the very start. Role Overview Design, build, and maintain a scalable, open-source data lakehouse architecture supporting petabyte-scale analytics workloads. Responsible for architecting end-to-end data pipelines from ingestion through transformation to consumption, ensuring high performance, reliability, and data quality. Required Experience A proven track record of success architecting, building, and running large-scale data systems (PB scale) Experience with both batch and real-time processing architectures Experience with open source Data Lakehouse components, including Apache Iceberg, PostgreSQL, Neo4j, Apache Parquet, etc. Experience with tools for stream processing and data analytics - Apache Kafka, Spark, Flink, etc. Understanding and experience with data transformation solutions Excellent programming experience with Python Strong communication and documentation skills Experience with CSP data platforms is a plus Understanding of data lineage, quality, and governance tooling is a plus We offer competitive
compensation and a comprehensive
benefits package designed to support our employees’ health, well-being, and long-term success. The expected salary range for this position is $150,000 – $250,000 per year. Within this range, individual pay is determined based on job-related factors including skills, experience,
qualifications, and internal equity. Most candidates can expect an offer within the range listed above. Your recruiter will provide additional details on