Snowflake

Staff Partner – Designated Support Engineer, Platform

Snowflake

full-time

Posted on:

Location Type: Hybrid

Location: Bellevue • Washington • 🇺🇸 United States

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Salary

💰 $135,000 - $189,000 per year

Job Level

Lead

Tech Stack

AWSAzureCloudDNSDockerETLGoGoogle Cloud PlatformInformaticaJavaJavaScriptKafkaKubernetes.NETNode.jsPythonScalaSparkSQLTCP/IPVMware

About the role

  • Identify new opportunities to enhance the partner experience.
  • Document known solutions to both internal and external knowledge bases.
  • Act as a trusted technical advisor to partners, providing in-depth analysis and guidance to address complex problems through email, web, and phone communication.
  • Collaborate with account teams to establish regular touchpoints with strategic partners to provide technical and executive-level updates, including performance and health insights
  • Utilize Snowflake environment, connectors, 3rd-party partner software, and tools to investigate and reproduce complex issues.
  • Act as a stakeholder to Product, ML, and Engineering teams, influencing their roadmap and core platform capabilities based on partner feedback
  • Participate in incident management and on-call rotations.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, or a related discipline.
  • 7+ years of combined experience in Technical Support or Developer Support, Full Stack Application Development, Data Engineering, Solutions Engineering, or Technical Consulting
  • Solid understanding of cloud computing architecture, security best practices, major cloud platforms (AWS, GCP, Azure), and core data layers like data warehouses and data lakes.
  • Proficient in programming, scripting, and debugging in at least two languages, such as Java, Python, C++, R, Scala, C# (.NET), JavaScript (Node.js), Go, including hands-on experience with distributed data technologies (Spark, Kafka).
  • Strong experience writing, profiling, and debugging SQL queries, implementing and troubleshooting database connectivity (ODBC, JDBC), and working with REST APIs for data access and integration.
  • Advanced knowledge of cloud-based ETL/ELT tools (e.g., AWS Glue, EMR, Azure Data Factory, Informatica, Data Pipelines) and experience with cloud provider messaging services such as AWS SQS/SNS, Azure queues, and GCP Pub/Sub.
  • Proficient in configuring and troubleshooting internet services/protocols (TCP/IP, HTTP, TLS/SSL, DNS), and system troubleshooting across multiple operating systems (Windows, Mac, *Nix) using common analysis tools (tcpdump, lsof, wireshark, netstat, sar, perfmon, process explorer).
  • Practical experience with virtualization solutions and container platforms such as VMware, Docker, Kubernetes, and VirtualBox.
Benefits
  • Competitive salary
  • Health insurance
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
programmingscriptingdebuggingSQLcloud computing architecturedata engineeringETL toolsdata technologiesvirtualization solutionscontainer platforms
Soft skills
technical advisorcommunicationcollaborationproblem-solvingstakeholder management
Certifications
Bachelor’s degreeMaster’s degree