Engineer based

• Design and execute POCs and benchmarks across industries and regions.
• Collaborate with regional Field Engineers to deliver joint success for sales.
opportunities.
• Analyze Spark-based workloads (SQL, ETL) and optimize them for Speedata APU.
• Build reusable infrastructure for tuning, logging, and benchmarking.
• Create tuning guides, cheatsheets, and enablement tools for global field teams.
• Support product feedback loop from customer use cases into roadmap discussions.
• Travel globally to support customer success, workshops, and technical
escalations
דרישות התפקיד
• 5+ years of experience in big data performance, systems engineering, or solution
architecture.
• Hands-on expertise with Apache Spark internals and workload tuning.
• Familiarity with Spark acceleration stacks (RAPIDS, Gluten, Velox).
• Strong understanding of Parquet, ORC, Delta Lake, and Iceberg formats.
• Proficient in Kubernetes, Docker, and CI/CD for deployment and operations.
• Experience with distributed file systems (HDFS, S3).
• Comfort working in customer-facing environments with executive presence.
• Fluent in English
• Team-first mindset with a hunger for technical depth and customer success.
Why Speedata
Speedata is building a revolutionary platform to accelerate the world’s most complex big
data workloads. Join a team that’s reshaping analytics infrastructure with a new category of
processor and defining the future of Spark performance.