Sigma is an AI apps and agentic analytics platform that enables business and technical teams to explore live cloud data, build applications, and automate workflows in a governed workspace.
<div class="content-intro"><p> </p> <p> </p></div><p>At Sigma, we believe that a seamless onboarding experience is key to unlocking the full potential of our platform. As a Deployment Engineer, you will be the trusted guide for new customers, helping them implement their first use case, adopt Sigma’s best practices, and become self-sufficient power users. You’ll collaborate closely with Sales, Customer Success, Technical Support, and Product teams to ensure every customer’s journey is smooth, impactful, and tailored to their needs.</p> <p>In this role, you’ll combine technical expertise with a customer-first mindset. You’ll be helping developers, analysts, and data teams translate their workflows into Sigma, optimize performance, and drive long-term success.</p> <p><strong>What You Will Be Doing</strong></p> <ul> <li>Drive new customer deployment with a core focus on best practices of environment setup, customer adoption, and self-sufficiency.</li> <li>Guide business users, data engineers, and developers on Sigma-specific methodologies, tailoring your coaching and implementation guidance to the skill set of the customer. </li> <li>Define path to successful deployment and first value activation based on proactively understanding customer’s business’ needs and purchase drivers for Sigma.</li> <li>Provide implementation expertise / advice in the following areas:</li> <ul> <li>Sigma best practices and patterns for both app development and BI development</li> <li>Sigma environment setup and data connection configuration</li> <li>Sigma product direction / roadmap</li> <li>Migration to Sigma from other tools</li> <li>Integration with business workflows</li> <li>Data modeling / shaping</li> <li>Performance optimization</li> <li>Security including SSO, team organization, and row-level security</li> </ul> <li>Drive accountability of the customer to define the path to first value, working closely with Sales and Customer Success Managers.</li> <li>Manage and own key customer milestones: sales handoff (internal), initial kickoff, training, deployment coaching, first value use case activation, and handoff to CS. </li> <li>Create an effective feedback loop to Product, Support and Sales teams to optimize how we onboard new customers.</li> <li>Raise risks and drive accountability to remove onboarding blockers. </li> <li>Document new knowledge and cross-train other members of the team.</li> </ul> <p><strong>Qualifications We Need</strong></p> <ul> <li>6 years of overall experience in data warehousing / AI app development / data analytics / business intelligence</li> <li>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</li> <li>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</li> <li>Experience with cloud data warehouses, including Snowflake, Databricks, Amazon Redshift, and Google BigQuery</li> <li>Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer</li> <li>Experience building data applications for cross-product workflows that are performant and well-structured, including use of API connectors and external storage integrations</li> <li>Experience configuring enterprise authentication systems, including SSO, SCIM, and OAuth</li> <li>Experience designing and implementing row-level security in a BI or analytics platform</li> <li>Experience configuring and troubleshooting embedded analytics, including iframe-based embedding, API integrations, and third-party authentication flows in a SaaS environment</li> <li>Experience creating technical documentation and training materials for enterprise customers and internal technical teams</li> <li>Experience conducting technical discovery and requirements gathering with enterprise stakeholders to assess technical readiness and develop implementation plans</li> <li>Experience designing and executing data-driven operational analysis projects to identify internal process inefficiencies and improve team performance</li> <li>Bachelor’s degree in computer science or related field or equivalent technical experience</li> </ul> <p><strong>Additional Job details</strong></p> <p>The base salary range for this position is $140-$170k annually.</p> <p>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 stock options, as well as a comprehensive benefits package.</p> <p>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.</p> <p> </p><div class="content-conclusion"><p><strong>About us: </strong></p> <p>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. </p> <p>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 Altime