# Customer Deployment Engineer

**Company:** [Sigma](https://hotfix.jobs/companies/sigma)
**Location:** New York, NY, San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $140k – $170k/yr
**Experience:** 6+ years
**Skills:** SQL, Tableau, Looker, Power BI, Snowflake, Databricks, amazon redshift, google bigquery, SSO, SCIM, OAuth, row-level security, embedded analytics, Data Modeling
**Posted:** 2026-07-16

> Deployment Engineer guiding new customers through onboarding, implementation of first use cases, and adoption of Sigma's AI analytics platform. Requires 6+ years in data/BI, 3+ years customer-facing BI tool experience, strong SQL, cloud data warehouse, and security skills.

## Job Description

## 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.

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