Senior Solutions Engineer
Company not disclosed
Job Description
Senior Solutions Engineer Hydrolix | Singapore, Remote Job Description At Hydrolix, we are revolutionizing the world of data management and analytics with an innovative cloud data platform purpose-built for petabyte-scale datasets. Hydrolix enables organizations to slash their data costs while simultaneously increasing their data retention. We are seeking a versatile Senior Solutions Engineer to join our team. You will bring your technical expertise to a diverse range of customer environments, supporting pre-sales and post-sales activities for our most important customers. Your day-to-day work will involve partnering with customers and prospects to help them leverage the Hydrolix data platform across a variety of cloud environments. You will also work closely with customers and partners, serve as a trusted technical advisor, help users realize their data aspirations, and accelerate their time-to-value. Key Responsibilities - Lead client-facing technical solution architecture engagements across pre-sales and post-sales activities, with an emphasis on pre-sales. - Collaborate with customers to understand their business objectives, data management challenges, and specific requirements. - Design and present solutions that demonstrate how Hydrolix can address customers’ data management, analytics, observability, and security requirements. - Plan and execute technical demonstrations and proofs of concept where required. - Troubleshoot and resolve technical issues encountered during evaluations, onboarding, and strategic customer engagements. - Provide guidance to clients on dashboarding, APIs, data ingestion and transformation, and the use of Hydrolix alongside third-party tools. - Develop and improve technical documentation, solution guides, training materials, blogs, and other resources that support customer onboarding and adoption. - Collaborate with Sales, Customer Success, Technical Account Management, Support, Product, and Engineering teams throughout the customer lifecycle. Qualifications and Skills - Fluency in written and spoken English. Mandarin proficiency is a plus. - A Bachelor’s degree in Computer Science, Information Technology, or a related field. - A minimum of five (5) years of professional experience in a technical consulting, solutions architecture, solutions engineering, or technical pre-sales capacity. - Demonstrated strong communication, presentation, analytical, and problem-solving skills. - Proven capacity to effectively manage multiple projects and meet established deadlines. - Experience with database management systems, data platforms, or database software, including proficiency in SQL. - Familiarity and hands-on experience with one or more major cloud computing platforms, such as AWS, Azure, or GCP. - A solid understanding of the current observability landscape. - A background in security, with experience using SIEM and security tooling such as Splunk. Bonus Qualifications - Extensive experience or professional certifications with one or more major cloud computing platforms. - Experience supporting or selling security and observability solutions to enterprises or managed service providers. - Familiarity with technologies such as Kubernetes, Spark, Databricks, Grafana, or similar data and observability platforms. - Working knowledge of scripting or programming languages such as Python, Go, or R. - Experience with a formal sales methodology such as MEDDIC, Value Selling, or Solution Selling.
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