Sigma Computing

Sigma Computing

Customer Deployment Engineer

San Francisco, CA · Full-time

Sponsorship not specified$140k-$170kDetected 19 hours ago
PythonSQLBigQuerySnowflakeRedshiftDatabricksOAuthSparkData AnalysisData VisualizationRecruitingHRISCustomer SuccessCustomer SupportCommunicationMentoring

About the role

  • In this role, you'll combine technical expertise with a customer-first mindset.
  • Every Sigma employee is expected to follow the company's confidentiality and security standards for handling sensitive data; Sigma employees must abide by the company's data security policies.
  • Sigma announced its $80M in Series E financing in May 2026.

Responsibilities

  • Create an effective feedback loop to Product, Support and Sales teams to optimize how we onboard new customers.
  • Raise risks and drive accountability to remove onboarding blockers.
  • Document new knowledge and cross-train other members of the team.

Requirements

  • Hands-on SQL proficiency, including dimensional data modeling and data shaping techniques, including slowly changing dimensions, date dimensions, pivot, unpivot, and lateral joins with unnesting
  • Experience with cloud data warehouses, including Snowflake, Databricks, Amazon Redshift, and Google BigQuery
  • Bachelor's degree in computer science or related field or equivalent technical experience
  • 6 years of overall experience in data warehousing / AI app development / data analytics / business intelligence
  • 3 years of hands-on BI development experience in a customer-facing technical role, using one or more of the following tools: Tableau, Looker, Power BI, Sisense, Qlik, or ThoughtSpot
  • Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer
  • Experience building data applications for cross-product workflows that are performant and well-structured, including use of API connectors and external storage integrations
  • Experience configuring enterprise authentication systems, including SSO, SCIM, and OAuth
  • Experience designing and implementing row-level security in a BI or analytics platform
  • Experience configuring and troubleshooting embedded analytics, including iframe-based embedding, API integrations, and third-party authentication flows in a SaaS environment
  • Experience creating technical documentation and training materials for enterprise customers and internal technical teams
  • Experience conducting technical discovery and requirements gathering with enterprise stakeholders to assess technical readiness and develop implementation plans
  • Experience designing and executing data-driven operational analysis projects to identify internal process inefficiencies and improve team performance

Skills

  • Sigma best practices and patterns for both app development and BI development
  • Sigma environment setup and data connection configuration
  • Sigma product direction / roadmap
  • Migration to Sigma from other tools
  • Integration with business workflows
  • Data modeling / shaping
  • Performance optimization
  • Security including SSO, team organization, and row-level security
  • Our Privacy Practices
  • Sigma's use of AI

Compensation

  • Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing.

Benefits

  • Generous health benefits
  • Flexible time off policy.
  • Take the time off you need!
  • Commuter and FSA benefits
  • This role is eligible for stock options, as well as a comprehensive benefits package.

Company info

  • Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
  • Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
  • Come join us!
  • Benefits For Our Full-Time Employees:
  • Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse.
  • Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance.
  • Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale.
  • Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
  • The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN.
  • This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
  • Equity
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Lunch Program
  • Dog friendly office
  • Sigma is an equal opportunity employer.
  • We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status.
  • We look forward to learning how your experience can enable all of us to grow.
  • Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.
  • When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process.
  • Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).
  • This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment.
  • Our AI tools are designed to complement, not replace, human decision-making.

Visa & Work Authorization

  • g a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any othe
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