обновлено 28 дней назад
DSE (AI/Data Support)
146 000 - 192 100$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
DSE (AI/Data Support) (Snowflake Data Platform): Providing hands-on technical support and customer guidance across query optimization, cost management, integrations, releases, disaster recovery, and migrations with an accent on enterprise data workloads and AI-assisted support workflows. Focus on solving complex database and connectivity issues, driving root-cause analysis, and improving customer outcomes through cross-functional work with Engineering, Product Management, and Marketing.
Location: Remote in the United States, Texas
Salary: $146K–$192.1K per year
Company
Snowflake provides a cloud data platform for enterprise customers and develops data, analytics, and AI capabilities.
What you will do
- Provide hands-on technical support after Snowflake deployment, including quick-start consultations, issue resolution, account health monitoring, and critical event response.
- Understand customer integration architectures, workloads, and business objectives to design and execute use cases aligned with Snowflake best practices.
- Monitor query performance, optimize warehouse configuration and utilization, and deliver cost optimization recommendations.
- Own release readiness, lead disaster recovery drills, and provide hands-on migration and system integration support.
- Drive high-quality issue resolution and root-cause analyses while serving as the customer advocate across internal teams.
- Apply AI-powered workflows for triage, log analysis, response drafting, and trend detection, validating outputs and escalating when manual investigation is needed.
Requirements
- 7+ years of experience in Technical Support, Solutions Architecture, Data Engineering, or a similar customer-facing technical role.
- Bachelor’s or Master’s degree in Computer Science, MIS, or a related field, or equivalent experience.
- Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning.
- Strong RDBMS fundamentals and hands-on experience with distributed or MPP database platforms.
- Experience with ETL/ELT tools, BI and analytics platforms, and AWS, Azure, or GCP infrastructure.
- Enterprise customer relationship management, executive communication, AI-assisted analysis, customer advocacy, and strong emotional intelligence.
Nice to have
- Experience with DevOps or DataOps tools such as Git, Jenkins, or Terraform.
- Experience troubleshooting database connectivity and cloud data migrations.
- Knowledge of TCP/IP, HTTP/S, SFTP, DNS, and diagnostic tools for connectivity troubleshooting.
- Experience with Python, Java, JavaScript, Scala, or Spark.
- Familiarity with Power BI, Tableau, MicroStrategy, or Business Objects.
Culture & Benefits
- Work in a fast-moving, experimental environment focused on AI-native ways of working.
- Collaborate with Product Management, Engineering, Marketing, and Customer Success.
- Build trusted technical relationships with enterprise customers and influence product and service improvements.
- Participate in on-call support as needed for customer success.
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