Solution Engineer

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June 26

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e6data

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SaaS • Enterprise • Artificial Intelligence

e6data is a hybrid, AI-native lakehouse compute engine that provides high-performance query, ETL, and real-time ingest for modern data platforms. The platform runs on cloud, on-prem, and hybrid environments and supports table formats like Iceberg, Delta, Hudi, and Hive without requiring migration from Snowflake, Databricks, BigQuery, or Fabric. Using a granular, decentralized “Atomic Architecture,” e6data delivers sub-second latency, high concurrency (thousands QPS), vector search for unstructured data, and claims up to 10x faster queries and ~60% lower compute costs for enterprise data teams while offering enterprise-grade security and governance.

51 - 200 employees

Founded 2020

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Provide technical guidance and best practices to customers • Troubleshoot and resolve technical issues that arise during the implementation and operation • Collaborate with customers to understand their business goals, data architecture, and technical requirements. • Hire and grow the solution engineering team, providing structured mentorship based on experience, insight, and contributions.

🎯 Requirements

• 2+ years of experience in data engineering and big data analytics • Hands on experience with Apache Spark and Hive • Proficiency in SQL and experience with SQL query engines (e.g., Presto, Trino, Apache Spark).

🏖️ Benefits

• An opportunity to be an early member of e6data at an explosive, transformative stage of our growth • An opportunity to lead or be part of the leadership team in the future. • Best-in-class compensation (90th percentile). • An engineering-driven, hybrid workplace culture