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Field Engineer – Israel (SWAT Team)

Location: Israel (Hybrid – HQ-based, Frequent travel globally)

Reports to: SWAT Team leader

Team: SWAT – Centralized Technical Execution Team


About the role 


Speedata is rewriting the rules of data infrastructure with the world’s first Analytics

Processing Unit (APU) — a revolutionary processor delivering massive acceleration for big

data workloads. As a Field Engineer based in Israel, you will join our elite SWAT team to

lead technical execution for global customer engagements.

You’ll design and execute high-impact POCs, benchmark performance, and collaborate

deeply with regional field engineers, R&D, and Product to shape how Speedata delivers

value to data-intensive organizations worldwide.

Key Responsibilities

  • 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.



Requirements

  • 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.

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