Firebolt is a cloud data warehouse solution designed to deliver high-performance analytics over large datasets with sub-second query response times. It combines the capabilities of a data warehouse and a query accelerator to efficiently manage complex data queries while reducing costs. Firebolt provides solutions for diverse industries, offering features like low latency, fast ingestion, and scalable infrastructure for mixed workloads. It supports high-concurrency applications and integrates seamlessly with existing data ecosystems, making it a preferred choice for tech companies focused on data-driven decision-making.
February 7
Firebolt is a cloud data warehouse solution designed to deliver high-performance analytics over large datasets with sub-second query response times. It combines the capabilities of a data warehouse and a query accelerator to efficiently manage complex data queries while reducing costs. Firebolt provides solutions for diverse industries, offering features like low latency, fast ingestion, and scalable infrastructure for mixed workloads. It supports high-concurrency applications and integrates seamlessly with existing data ecosystems, making it a preferred choice for tech companies focused on data-driven decision-making.
โข Collaborate closely with your sales partners to achieve technical win โข Conduct in-depth technical presentations and product demonstrations of Firebolt's state-of-the-art Cloud Data Warehouse capabilities to both technical and business stakeholders โข Conduct technical discovery to determine product suitability and proactively identify any potential obstacles โข Lead end-to-end POCs (from requirements gathering to implementation) with potential customers, advising them on product best practices and optimal implementation strategies โข Become a Firebolt expert while continuously staying informed about industry trends in data warehousing, data analytics, AI, and the broader ecosystem. โข Contribute to Firebolt's technical strategy and product roadmap based on customer feedback and market insights.
โข Bachelors or Masters in computer science or affiliated engineering fields from a premier institute โข 4+ years of experience in a technical customer-facing role, preferably presales for a technology company (e.g. sales engineer, solutions engineer, solutions architect, etc) โข 2+ years of hands-on experience with database/data warehouse implementations in cloud environments โข Great communication skills and the ability to transfer knowledge effectively to prospects/customers โข Ability to work with business and technical audiences and lead business requirement meetings, technical white boarding exercises, and SQL coding/debugging sessions โข Deep understanding of data and analytics space โข Deep understanding of data warehousing concepts โข Fluent in SQL โข Experience with analytic use cases, ETL workflows, and BI tools โข Working understanding of the AI ecosystem and experience leveraging AI tools in a professional setting โข Working understanding of the AWS ecosystem
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