Customer Deployment Engineer

What You Will Be Doing

• 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.
• Define path to successful deployment and first value activation based on proactively understanding customer’s business’ needs and purchase drivers for Sigma.
• Provide implementation expertise / 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 / 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
• 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 CS.
• 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 We Need

• 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
• 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
• 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
• Bachelor’s degree in computer science or related field or equivalent technical experience

Compensation

The base salary range for this position is $140k-$170k annually. This role is eligible for stock options, as well as a comprehensive benefits package.