Most applications go out cold — see where you stand first. No sign-up to start.
Don't just apply. Show up ready.
Olive works from this exact posting — no sign-up to start.
At a glance
Job overview
Cylake is hiring a Data Pipeline Engineer. Join a small team building next‑generation cybersecurity products, architecting, building, and delivering impactful solutions while growing career and skills from the start. The role involves designing, building, and maintaining a scalable open‑source data lakehouse architecture for petabyte‑scale analytics, ensuring high performance, reliability, and data quality.
Key focus areas include Design and maintain scalable open‑source data lakehouse architecture, Architect end‑to‑end data pipelines from ingestion to consumption, and Implement batch and real‑time processing architectures.
Successful candidates bring Experience Architecting, Building, And Running Large-Scale Data Systems, Experience With Batch And Real-Time Processing Architectures, and Experience With Open Source Data Lakehouse Components. Important skills include Iceberg, PostgreSQL, Neo4j, Parquet, Kafka, and Apache Spark. Preferred (not required): CSP Data Platforms, Data Lineage Tooling, Data Quality Tooling, and Data Governance Tooling.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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 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.
You've read the whole posting — now see how you match it.