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 OverviewDesign, 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 ExperienceA 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 compensation and benefits to qualified candidates during the hiring process.
We’re committed to building a diverse, inclusive workplace where everyone can do their best work. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. If you require a reasonable accommodation during the application or interview process, please let us know — we’re happy to support you.
Skills Required
- Proven track record 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
- Experience with tools for stream processing and data analytics - Apache Kafka, Spark, Flink
- Understanding and experience with data transformation solutions
- Excellent programming experience with Python
- Strong communication and documentation skills
- Experience with CSP data platforms
- Understanding of data lineage, quality, and governance tooling
What We Do
Cylake is developing a complete, AI-native, data-driven cybersecurity platform for regulated organizations that require operational and data sovereignty. Designed to run on-premises or in private clouds, its system combines hardware and software to provide end-to-end protection. The platform analyzes an organization’s data and operations, delivering deep visibility and agentic security without relying on public cloud or public AI infrastructure for sensitive environments.
