About The Role

high-performance, distributed big data platforms, databases, filesystems, and compute engines.

Collaborate with data engineers and ML scientists to build and roll-out tools for big data platforms.
Drive the scaling and optimization of real-time analytical powerhouses and design robust data engineering ecosystems.
Balance building innovative new tools from scratch with improving existing infrastructure, focusing on high-performance, distributed big data platforms.
Distributed compute/data systems (e.g., Spark, Trino, Druid, ClickHouse)
Real-time and batch pipelines (Kafka, Spark Streaming) with a focus on user-friendliness and reliability
Collaborative Enabler: A strong communicator who thrives on building bridges between the teams you enable (analysts, data scientists) and the teams you depend on (infrastructure, security)
DevOps pipelines and data modeling tooling
Python or Java Expert: 6+ years of experience with object-oriented programming
Distributed Systems Architect: Proven experience developing and maintaining:

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Senior Data Platform Engineer (OLAP)