Senior Staff Data Platform Engineer - Kafka - Apache Iceberg - Apache Spark

📋 Description

• Architect, design, and build high‑performance distributed systems and platform components.
• Build distributed systems data ingestion solutions with focus on scalability and reliability.
• Design software that is easy to extend for customer environments.
• Deliver clean, modular code with engineering best practices (code reviews, tests, automation).
• Develop foundational libraries and tools for modularity and maintainability.
• Collaborate across teams to deliver end‑to‑end data platform solutions.

🎯 Requirements

• Experience integrating AI into engineering work or automation tooling.
• 10+ years software development with degree; or 8+ with Master's; or 6+ with PhD.
• Strong distributed systems knowledge; Java expertise; JVM performance tuning.
• Concurrency, networking, OS internals, and large‑scale distributed systems ops.
• Relational DB experience (Oracle, MySQL, PostgreSQL).
• Kafka or similar streaming platforms, Kafka Connect, Flink, Spark, and data lake expertise

🎁 Benefits

• Health plans, flexible spending accounts, 401(k) with match, ESPP, and donations matching.
• Flexible time away plan and family leave programs.
• Equity where applicable and location‑based compensation guidance.