Customer Deployment Engineer

Join Sigma as a Customer Deployment Engineer, where you'll play a crucial role in ensuring a seamless onboarding experience for new customers. You'll guide them through their first use case, help them adopt Sigma's best practices, and empower them to become self-sufficient power users. Collaborating closely with various teams, you'll combine technical expertise with a customer-first mindset to drive long-term success.

• 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 skill set of the customer.
• Manage and own key customer milestones: sales handoff (internal), initial kickoff, training, deployment coaching, first value use case activation, and handoff to CS.
• Experience creating technical documentation and training materials for enterprise customers and internal technical teams
• Experience configuring and troubleshooting embedded analytics, including iframe-based embedding, API integrations, and third-party authentication flows in a SaaS environment
• Experience configuring enterprise authentication systems, including SSO, SCIM, and OAuth
• 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
• Experience designing and implementing row-level security in a BI or analytics platform
• Experience with cloud data warehouses, including Snowflake, Databricks, Amazon Redshift, and Google BigQuery
• 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
• 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
• Experience conducting technical discovery and requirements gathering with enterprise stakeholders to assess technical readiness and develop implementation plans
• Experience building data applications for cross-product workflows that are performant and well-structured, including use of API connectors and external storage integrations
• Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer
• Experience designing and executing data-driven operational analysis projects to identify internal process inefficiencies and improve team performance