1 день назад
Senior Solutions Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Engineer (Cloud Data Platforms): Designing and demonstrating technical solutions for petabyte-scale data management, analytics, observability, and security across customer cloud environments with an accent on pre-sales architecture, proofs of concept, and customer adoption. Focus on integrating dashboards, APIs, data ingestion and transformation with third-party tools, troubleshooting evaluations and onboarding, and advising customers on SQL, cloud platforms, and SIEM tooling.
Location: Remote from Singapore
Company
provides a cloud data platform designed for petabyte-scale datasets, helping organizations reduce data costs while increasing data retention.
What you will do
- Lead client-facing technical solution architecture engagements across pre-sales and post-sales, with an emphasis on pre-sales.
- Understand customer objectives, data management challenges, and technical requirements.
- Design and present solutions for data management, analytics, observability, and security use cases.
- Plan and execute technical demonstrations and proofs of concept.
- Troubleshoot technical issues during evaluations, onboarding, and strategic customer engagements.
- Advise customers on dashboards, APIs, data ingestion and transformation, third-party integrations, and platform adoption.
Requirements
- Fluent written and spoken English.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- At least five years of experience in technical consulting, solutions architecture, solutions engineering, or technical pre-sales.
- Experience with database management systems or data platforms, including SQL.
- Hands-on experience with at least one major cloud platform, such as AWS, Azure, or GCP.
- Understanding of observability, security, SIEM, and security tools such as Splunk.
Nice to have
- Cloud platform certifications or extensive cloud experience.
- Experience supporting or selling security and observability solutions to enterprises or managed service providers.
- Familiarity with Kubernetes, Spark, Databricks, Grafana, or similar platforms.
- Working knowledge of Python, Go, or R.
- Experience with MEDDIC, Value Selling, Solution Selling, or another formal sales methodology.
- Mandarin proficiency.
Culture & Benefits
- Collaborate with Sales, Customer Success, Technical Account Management, Support, Product, and Engineering throughout the customer lifecycle.
- Create technical documentation, solution guides, training materials, blogs, and onboarding resources.
- Work across diverse customer environments and cloud platforms.
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