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 work closely with various teams to tailor each customer's journey to their specific needs, combining technical expertise with a customer-first mindset. Your responsibilities will include guiding users on Sigma-specific methodologies, defining paths to successful deployment, and managing key customer milestones. Enjoy competitive pay, flexible scheduling, comprehensive health coverage, unlimited time off, and opportunities for professional development and career growth.

• 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 Customer Success.
• Experience configuring and troubleshooting embedded analytics, including iframe-based embedding, API integrations, and third-party authentication flows in a SaaS environment
• 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 with cloud data warehouses, including Snowflake, Databricks, Amazon Redshift, and Google BigQuery
• Experience conducting technical discovery and requirements gathering with enterprise stakeholders to assess technical readiness and develop implementation plans
• Experience creating technical documentation and training materials for enterprise customers and internal technical teams
• Experience designing and implementing row-level security in a BI or analytics platform
• Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer
• 6 years of overall experience in data warehousing / AI app development / data analytics / business intelligence
• 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
• Experience designing and executing data-driven operational analysis projects to identify internal process inefficiencies and improve team performance
• 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