Staff Designated Support Engineer
Snowflake · Remote · US-TX-Remote ·
COMPENSATION
$146k – $192k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote
- 7+ years experience
- Advanced SQL expertise
- AI-native workflow
As a Designated Support Engineer, you will act as a trusted advisor to Snowflake's priority customers, bridging complex business challenges with technical solutions. You will lead efforts to transform support into a proactive service, handling everything from query optimization and cost analysis to disaster recovery planning.
The role requires an AI-first mindset, using intelligent tools to accelerate triage and resolution while maintaining high-quality human oversight. You will collaborate with internal engineering and product teams to improve the platform based on direct customer feedback and real-world usage patterns.
What you'll do
- Provide hands-on support for deployment, issue resolution, and account health monitoring
- Design and execute use cases aligned with Snowflake best practices and features
- Optimize query performance and prevent recurring technical issues
- Analyze warehouse configuration to implement cost optimization recommendations
- Lead disaster recovery drills and provide migration support for priority customers
- Drive high-quality issue resolution and root cause analyses as customer advocate
- Establish regular technical and executive touchpoints with key stakeholders
- Apply AI-powered tooling for triage, log analysis, and response drafting
What you'll need
- 7+ years in Technical Support, Solutions Architecture, or Data Engineering
- Bachelor's or Master's degree in Computer Science, MIS, or equivalent experience
- Proven success managing enterprise customer relationships as a technical advisor
- Advanced SQL expertise including debugging, optimization, and performance tuning
- Strong RDBMS fundamentals such as execution plans and workload management
- Hands-on experience with distributed or MPP database platforms
- Experience with ETL/ELT tools and BI/analytics platforms
- Experience working with AWS, Azure, or GCP infrastructure
- Fluency in using AI-assisted workflows for analysis and validation
Nice to have
- Experience with DevOps or DataOps tooling like Git, Jenkins, or Terraform
- Troubleshooting database connectivity and cloud data migrations
- Understanding of internet fundamentals like TCP/IP, HTTP/S, and DNS
- Experience with Python, Java, JavaScript, Scala, or Spark
- Familiarity with Power BI, Tableau, MicroStrategy, or Business Objects
Stack
- Snowflake
- SQL
- AWS
- Azure
- GCP
- Python
- Java
- Spark
- Git
- Terraform
How you'll work
- Fully remote position
- On-call availability required for customer success