Staff Designated Support Engineer

🕒 Yesterday

🤠 Texas – Remote

🤠 Texas – Remote

💵 $122k - $160.6k / year

⏰ Full Time

🔴 Lead

📞 Support Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

📋 Description

• Provide hands-on support for customer needs following Snowflake deployment - from quick start consultations, to issue resolutions, account health monitoring and critical event support. • Deep understanding of the customer's product integration architecture and workloads. • Design, review and execute use cases with customer context to align with Snowflake best practices, product features and functionality. • Provide guidance on how to resolve customer-specific technical challenges • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s product and service offerings to drive customer experience. • Drive customer experience across the following: Query performance & optimization - Monitor, review and provide actionable, hands-on support to optimize query performance and prevent recurring issues. • Cost Optimization opportunities - Analyze the customer’s warehouse configuration and utilization, implement recommendations in partnership with the customer. • System Integration - Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments • Own release readiness for priority support customers, lead disaster recovery drills & provide hands-on migration support. • Drive Issue resolution and high case quality - partner with internal team to drive effective resolution and RCAs. Provide customer context and be the customer advocate. • Establish regular touchpoints with customers to provide technical and executive-level updates across all reported issues. • Be available on-call as needed for customer success. • Serve as a dedicated technical partner to Priority Support customers — providing hands-on support from quick-start consultations and issue resolution to account health monitoring and critical event response • Develop a deep understanding of each customer's product integration architecture, workloads, and business objectives to deliver contextually relevant guidance • Monitor, analyze, and deliver actionable recommendations for query performance optimization, with a focus on preventing recurring issues • Analyze warehouse configuration and utilization, and implement cost optimization recommendations in close partnership with customers • Own release readiness for priority support customers, lead disaster recovery drills, and provide hands-on migration support • Drive high-quality issue resolution and root cause analyses — serving as the internal customer advocate to ensure effective, timely outcomes • Establish regular executive and technical touchpoints with customers to provide updates across all active issues and share forward-looking guidance • Partner cross-functionally with Product Management, Engineering, and Marketing to surface customer insights that improve Snowflake's products and services • Apply AI-powered tooling and workflows to triage, log analysis, response drafting, and trend detection — validating outputs and escalating to manual investigation where appropriate

🎯 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 • Proven success managing enterprise customer relationships as a trusted technical advisor, including communicating and influencing across technical and executive audiences • Advanced SQL expertise, including query debugging, optimization, window functions, and performance tuning • Strong RDBMS fundamentals: data types, aggregations, execution plans, workload management, and database performance • Hands-on experience with distributed or MPP (massively parallel processing) database platforms • Experience with ETL/ELT tools and BI/analytics platforms (e.g., AWS Glue, Azure Data Factory, Informatica, Matillion, Fivetran, Tableau) • Experience working with large-scale infrastructure-as-a-service platforms (AWS, Azure, GCP) • AI fluency: demonstrated ability to use AI-assisted workflows for triage, analysis, and response drafting — including critically validating outputs and knowing when to escalate to manual investigation • High emotional intelligence (EQ), empathy, and strong customer advocacy skills, with adaptability to thrive in a fast-moving, dynamic environment.

🏖️ Benefits

• n/a