Sigma Computing
SaaS
TechnicalSupportEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Technical Support Engineer at Sigma Computing. Skills: Technical Support, SQL, Customer Facing. Assist with diagnosis and resolution of complex technical issues. Develop best practices and tools for diagnosing issues”
What You'll Achieve.
Meet the needs of an expanding global user base; Bring issues to resolution quickly; Build scalable processes for issue resolution
Industry & Context.
Solve technical challenges; Solve business challenges; Solve data challenges; Diagnose complex issues; Drive solutions
On-call duties, In-office work environment
What They're Looking For.
Must Have
2+ years of experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider, SQL proficiency — grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub-queries, SQL query performance troubleshooting and query plan analysis, 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 desire to build scalable processes for issue resolution — documenting common patterns and building tooling for diagnosing issues, collaboration skills and the ability to work with multiple departments to coordinate issue triaging, diagnosis, and resolution
Nice to Have
Supporting a cloud service in production, Experience working with Snowflake, Redshift, or BigQuery, Knowledge of GCP or AWS, Startup experience
What You'll Do.
Assist with diagnosis and resolution of complex technical issues
Develop best practices and tools for diagnosing issues
Optimize service for performance
Create a first-class experience for users
Participate in quarterly projects
Perform periodic on-call duties
How You'll Work.
Team & Collaboration
Work closely with Product, Engineering, and Go-to-Market teams; Collaborate with cross-functional groups — backend, frontend, DevOps, design, product, and the go-to-market teams; Work with multiple departments to coordinate issue triaging, diagnosis, and resolution
Communication Scope
Excellent verbal and written communication skills
Full Job Description
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. Minimum Education Requirement This position requires a U. S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing 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 and perform periodic on-call duties to improve automation and processes. Qualifications We Are Looking For 2+ years of experience in a customer-facing technical role (Technical Support, Solutions Engineering, or Software Engineering) at a cloud or SaaS provider. SQL proficiency — strong grasp of JOINs, Partitions, Window Functions, Aggregations, CTEs, and sub-queries. SQL query performance troubleshooting and query plan analysis. Proficient in data modeling concepts. Ability to chart data into logical visualizations. A proven track record of building trust with customers and bringing issues t
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