Staff Designated Support Engineer

IE-Dublin-WW · NL-Amsterdam · 8+ years experience · Full-time · Hybrid · Posted Oct 20, 2026

At a glance

The Staff Designated Support Engineer (DSE) is a trusted technical partner to Priority Support customers, blending deep technical expertise with proactive account engagement.
This role involves building strong relationships and in-depth knowledge of customer architecture, use cases, and business priorities to ensure quick resolution and business continuity.

Operate as the primary point of contact for assigned customers on service delivery issues
Partner with support and account teams to drive the day-to-day progression of support cases, incidents, and escalations for assigned customers
Partner with customers to identify trends and complex production issues, ensure high case quality, and deliver well-documented root cause analyses (RCAs)
Establish regular touchpoints with customers to provide technical and executive-level updates, including performance and health insights
Advocate for customer priorities in account reviews and collaborate closely with internal teams to ensure issues are prioritized and understood
Drive technical advocacy between customers and product/engineering teams, ensuring issues are well-understood and prioritized
Lead problem-solving sessions for complex technical challenges, coordinating across Support, Engineering, and Cloud Operations
Maintain deep knowledge of assigned accounts’ architecture, use cases, and critical success factors
Adhere to response and resolution SLAs and escalation processes to ensure customer business continuity
Lead knowledge-sharing and training sessions for peers and customer teams to deepen understanding of Snowflake and data warehousing fundamentals

Bachelor’s or Master’s degree in Computer Science, MIS, or equivalent discipline
8+ years of experience in Technical Support, Customer Success, or similar customer-facing technical role
Proven success in managing enterprise customer relationships and acting as a trusted technical advisor
Strong communication and writing skills in English, with the ability to simplify complex concepts for technical, non-technical, and executive audiences
High emotional intelligence (EQ), empathy, and customer advocacy skills, with the ability to influence outcomes across internal and external stakeholders
Experience with Data Warehousing, Database migration, and ETL
Experience working with a distributed database i.e., big data and/or MPP (massively parallel processing) databases
Advanced SQL expertise, including debugging, query optimization, window functions, and performance tuning
Strong RDBMS knowledge (data types, aggregations, execution plans, workload management, database performance)
Experience with data integration and analytics: ETL/ELT and reporting tools (e.g., AWS Glue, Azure Data Factory, Informatica, Matillion, Tableau, Fivetran)

Experience with CI/CD platforms and tools such as Terraform, Azure DevOps, Jenkins, etc.
Scripting/coding experience in any of the following: .NET, JavaScript, R, GO
Experience with Libraries/Frameworks such as Pandas, SciPy, TensorFlow, etc.
Experience supporting applications running on either Amazon AWS or MS Azure
Troubleshooting skills on a variety of operating systems (Windows, Mac, *Nix)
Proficient in the technical fundamentals of the internet, with strong knowledge of internet protocols such as TCP/IP, HTTP/S, SFTP, and DNS, as well as the skills to use diagnostic tools for troubleshooting connectivity issues
Experience with virtualization and Container solutions (VMware, Docker, Virtualbox, Kubernetes, etc.)
Understanding of cloud computing network and security concepts

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