Customer Deployment Engineer

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.

About the role

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. In this role, you’ll combine technical expertise with a customer-first mindset, helping developers, analysts, and data teams translate their workflows into Sigma, optimize performance, and drive long-term success.

Responsibilities

• Drive new customer deployment with a core focus on best practices of environment setup, customer adoption, and self-sufficiency.
• Guide business users, data engineers, and developers on Sigma-specific methodologies, tailoring your coaching and implementation guidance to the customer’s skill set.
• Define the path to successful deployment and first value activation by proactively understanding the customer’s business needs and purchase drivers for Sigma.
• Provide implementation expertise and advice in the following areas:
  • Sigma best practices and patterns for both app development and BI development
  • Sigma environment setup and data connection configuration
  • Sigma product direction and roadmap
  • Migration to Sigma from other tools
  • Integration with business workflows
  • Data modeling and shaping
  • Performance optimization
  • Security, including SSO, team organization, and row-level security
• Drive accountability of the customer to define the path to first value, working closely with Sales and Customer Success Managers.
• Manage and own key customer milestones: sales handoff (internal), initial kickoff, training, deployment coaching, first value use case activation, and handoff to Customer Success.
• 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.

Qualifications

• 6 years of overall experience in data warehousing, AI app development, data analytics, or 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.
• Hands-on SQL proficiency, including dimensional data modeling and data shaping techniques (e.g., 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.
• Clear communication style with 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.
• Bachelor’s degree in computer science or related field, or equivalent technical experience.

Pay

The base salary range for this position is $140,000–$170,000 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, and experience. This role is eligible for stock options.

Benefits

• Equity
• Generous health benefits
• Flexible time off policy
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch program
• Dog-friendly office