Назад
1 день назад

Staff Designated Support Engineer (Snowflake)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland/Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Designated Support Engineer (Snowflake): Providing technical partnership for Priority Support customers by coordinating complex cases, incidents, escalations, and production issue resolution with an accent on query performance, warehouse optimization, data architecture, and customer advocacy. Focus on leading cross-functional problem-solving, delivering root cause analyses, translating customer priorities to engineering teams, and improving business continuity through support insights and SLAs.

Location: Hybrid; Dublin, Ireland or Amsterdam, Netherlands. Holiday and weekend coverage may be required by business needs.

Company

Snowflake provides a cloud data platform and supports enterprise customers with data warehousing, analytics, and business-critical workloads.

What you will do

  • Act as the primary technical contact for assigned Priority Support customers and maintain deep knowledge of their architectures, use cases, and business priorities.
  • Drive the progression of support cases, incidents, and escalations with Support, Account, Engineering, and Cloud Operations teams.
  • Analyze query performance, warehouse configuration and utilization, account setup, security, governance, and customer health to identify optimization opportunities.
  • Identify trends and complex production issues, ensure case quality, and deliver documented root cause analyses.
  • Provide technical and executive-level updates, advocate for customer priorities, and lead problem-solving sessions.
  • Support global product-quality initiatives and deliver knowledge-sharing and training sessions for peers and customer teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, MIS, or an equivalent discipline.
  • 8+ years of experience in Technical Support, Customer Success, or a similar customer-facing technical role.
  • Proven success managing enterprise customer relationships as a trusted technical advisor, with strong customer advocacy, communication, writing, empathy, and emotional intelligence skills.
  • Experience with data warehousing, database migration, ETL/ELT, reporting tools, and distributed, big-data, or MPP databases.
  • Advanced SQL expertise, including debugging, query optimization, window functions, and performance tuning; strong RDBMS knowledge covering data types, aggregations, execution plans, workload management, and database performance.
  • Experience with data integration and analytics tools such as AWS Glue, Azure Data Factory, Informatica, Matillion, Tableau, or Fivetran.
  • Familiarity with semi-structured data formats including JSON, Avro, and Parquet, plus scripting or coding in at least one programming language.
  • Knowledge of at least one major cloud ecosystem—AWS, Azure, or GCP—including infrastructure, networking, and CPU, I/O, RAM, and network performance metrics.
  • Hands-on experience troubleshooting database connectivity and cloud data migrations; ability to collaborate across global teams with an understanding of enterprise sales cycles and support processes.
  • Experience mentoring or training peers on data warehousing and cloud fundamentals; adaptability and eagerness to learn in a dynamic environment.
  • Strong English communication and writing skills, including the ability to explain complex concepts to technical, non-technical, and executive audiences.

Nice to have

  • Experience with CI/CD platforms and tools such as Terraform, Azure DevOps, or Jenkins.
  • Scripting or coding experience with .NET, JavaScript, R, or Go, and experience with Pandas, SciPy, TensorFlow, or similar libraries and frameworks.
  • Experience supporting applications on Amazon AWS or Microsoft Azure.
  • Troubleshooting experience across Windows, Mac, and Unix-like operating systems.
  • Knowledge of internet fundamentals and protocols including TCP/IP, HTTP/S, SFTP, and DNS, with experience using connectivity diagnostic tools.
  • Experience with virtualization and container solutions such as VMware, Docker, VirtualBox, or Kubernetes.
  • Understanding of cloud computing network and security concepts.

Culture & Benefits

  • Hybrid work arrangement in Dublin or Amsterdam.
  • Customer-focused environment centered on business continuity, technical advocacy, and high-quality support resolutions.
  • AI-native, experimental approach to improving how work is performed.
  • Opportunities to contribute to global initiatives, knowledge sharing, and customer and peer training.
  • Holiday and weekend coverage may be required according to business needs.

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