Solution Engineer

5 days ago

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Logo of Firebolt

Firebolt

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.

πŸ“‹ Description

β€’ Firebolt is the Cloud Data Warehouse designed to handle the speed, scale, and flexibility of AI applications. β€’ With over $270m in funding to date, a strong engineering team and highly experienced leadership, Firebolt is well positioned to revolutionize the AI data infrastructure space. β€’ The Firebolt Solution Engineering team is the technical force behind our GTM organization, ensuring business growth and customer success. β€’ Our Solution Engineers blend technical expertise and strong communication to lead the technical evaluation process for customers and prospects. β€’ Engage with both technical and business stakeholders to convey Firebolt's value and lead proof of concept initiatives.

🎯 Requirements

β€’ Bachelors or Masters in computer science or affiliated engineering fields from a premier institute β€’ 4+ years of experience in a technical customer-facing role, preferability presales for a technology company (e.g. sales engineer, solutions engineer, solutions architect, etc) β€’ 2+ years of hands-on experience with database/data warehouse implementations in cloud environments β€’ Great communication skills and the ability to transfer knowledge effectively to prospects/customers β€’ Ability to work with business and technical audiences and lead business requirement meetings, technical white boarding exercises, and SQL coding/debugging sessions β€’ Deep understanding of data and analytics space β€’ Deep understanding of data warehousing concepts β€’ Fluent in SQL β€’ Experience with analytic use cases, ETL workflows, and BI tools β€’ Working understanding of the AI ecosystem and experience leveraging AI tools in a professional setting β€’ Working understanding of the AWS ecosystem

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April 7

GitLab

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Solutions Architect at GitLab focuses on technical solutions while addressing client business requirements.

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