Speedata.io

Senior Field Engineer

Posted: 1 hours ago

Job Description

Speedata is rewriting the rules of data infrastructure with the world’s first AnalyticsProcessing Unit (APU) — a revolutionary processor delivering massive acceleration for bigdata workloads. As a Field Engineer based in Israel, you will join our elite SWAT team tolead technical execution for global customer engagements.You’ll design and execute high-impact POCs, benchmark performance, and collaboratedeeply with regional field engineers, R&D, and Product to shape how Speedata deliversvalue to data-intensive organizations worldwide.Requirements7+ years of experience in big data performance, systems engineering, or solution architecture, including 2+ years in a leadership or team lead role.Deep expertise with Apache Spark internals, performance tuning, and workload optimization.Familiarity with Spark acceleration stacks (RAPIDS, Gluten, Velox).Strong knowledge of Parquet, ORC, Delta Lake, and Iceberg data formats.Proficiency in Kubernetes, Docker, and CI/CD systems for deployment and operations.Experience with distributed file systems (HDFS, S3).Proven success leading customer-facing technical teams with strong communication and executive presence.Fluent in English.Team-first mindset with a passion for technical depth, innovation, and customer success.Key ResponsibilitiesLead and mentor a global team of performance engineers focused on designing and executing POCs and benchmarks across industries and regions.Oversee collaboration with regional Field Engineers to ensure technical excellence and joint sales success.Drive analysis and optimization of Spark-based workloads (SQL, ETL) for the Speedata APU platform.Define and maintain reusable infrastructure for tuning, logging, and benchmarking.Guide the creation of tuning guides, best practices, and enablement materials for global field and customer teams.Own the technical feedback loop from customer use cases into product roadmap discussions.Represent the engineering team in global customer engagements, workshops, and technical escalations.Foster a culture of technical excellence, collaboration, and continuous improvement within the team.OpportunitiesLead innovation in big data performance optimization and acceleration technologies.Influence product direction through real-world insights and customer impact.Work closely with cutting-edge technologies in the Spark and data acceleration ecosystem.Travel globally to engage with customers and support strategic opportunities.

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