Technical Support Engineer

About The Role

Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an award-winning team recognized with the 2024 Stevie Gold Award for Customer Service, helping customers solve technical, business, and data challenges using the Sigma platform.

You’ll work closely with Product, Engineering, and Go-to-Market teams to diagnose complex issues, drive solutions, and contribute to the continuous improvement of our product and support operations.

• You will work with Sigma’s customers and the pre-sales team to assist with the diagnosis and resolution of complex technical issues.
• Working closely with the development team, you will develop best practices and tools for diagnosing issues and optimizing the service for performance.
• Collaborate with cross-functional groups - backend, frontend, devops, design, product, and the go-to-market teams to create a first-class experience for users of our product.
• Participate in quarterly projects, perform periodic on-call duties, and other assignments as needed to improve automation and processes.

• 2+ years of industry experience supporting enterprise products for data analytics.
• Computer Science fundamentals; strong domain expertise in databases and business intelligence.
• SQL proficiency - strong understanding of JOINs, Partitions, Window Functions, Aggregations, CTEs, Sub-queries, etc.
• SQL query performance troubleshooting and plan generation understanding.
• Proficient in data modeling concepts.
• Ability to chart data into logical visualizations.
• A proven track record of building trust with customers and bringing issues to resolution quickly.
• Excellent verbal and written communication skills.
• A strong desire to build scalable processes for issue resolution (documenting common patterns for issue resolution, building tooling for diagnosing issues, etc.).
• Strong collaboration skills and the ability to work with multiple departments and coordinate issue triaging, diagnosis and resolution.
• Desire to be a great teammate and have fun at work.

• Supporting a cloud service in production.
• Experience working with Snowflake, Redshift, Big Query.
• Knowledge of GCP, AWS.
• Startup experience.

The base salary range for this position is $90k - $125k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for an annual bonus, stock options, as well as a comprehensive benefits package.

If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. We are enthusiastically looking for people that will help us grow our company and sometimes we are imperfect communicators and can’t articulate perfectly what experience is required for a role. We are looking for people that are excited to grow and constantly ask how we can do things better.

If you are excited about the opportunity, we encourage you to apply even if you don’t satisfy 100% of the job requirements.

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake…