Job Description

Key Responsibilities

  • Kinetica Database Architecture & Design: Architect, design, and implement robust, scalable, and high-performance database solutions using Kinetica.
  • Development & Implementation: Develop and maintain complex SQL queries, and User-Defined Functions (UDFs) to support application requirements.
  • Performance Optimization: Proactively identify and resolve performance bottlenecks. Lead efforts in query tuning, resource management, and database configuration to ensure optimal performance and efficiency.
  • Native Feature Utilization: Serve as the subject matter expert on Kinetica's native features, including geospatial analysis, graph analytics (GSQL), and time-series functions. Drive the adoption and implementation of these features to solve complex business problems.
  • Data Modeling & Ingestion: Design and manage data models and schemas. Implement and oversee efficient data ingestion pipelines into the Kinetica database. <...

Ready to Apply?

Take the next step in your AI career. Submit your application to LTM today.

Submit Application