Customer Deployment Engineer

Sigma; San Francisco (CA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

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

Job summary

Sigma is seeking a Deployment Engineer to guide new customers through deployment, adoption, and first value activation. You will work with Sales, Customer Success, Support, and Product to tailor the onboarding journey and ensure successful outcomes for developers, analysts, and data teams.

You will translate workflows into Sigma, optimize performance, and drive long-term customer success with a customer-first mindset.

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 BI tools.
• Hands-on SQL proficiency with dimensional modeling and data shaping techniques.
• Experience with cloud data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
• Clear communication to explain complex issues to customers.
• Experience building data apps for cross-product workflows with API connectors.
• Experience configuring enterprise authentication (SSO/SCIM/OAuth).
• Experience designing row-level security in BI/analytics platforms.
• Experience configuring embedded analytics (iframe embedding, API integrations).
• Experience creating technical documentation and training materials.
• Experience conducting technical discovery with enterprise stakeholders.
• Experience data-driven operational analysis to improve processes.
• Bachelor’s degree in computer science or related field or equivalent

Responsibilities

• Drive new customer deployments focusing on environment setup, adoption, and self-sufficiency.
• Coach business users, data engineers, and developers on Sigma methodologies.
• Define path to deployment and first value based on customer needs and drivers.
• Provide implementation guidance on app and BI development, data connections, and product direction.
• Assist with migrations from other tools and integrations with business workflows.
• Model and shape data, optimize performance, and implement security measures.
• Drive accountability to achieve first value and coordinate with Sales and CS.
• Manage milestones: kickoff, training, deployment coaching, first value use case, handoff to CS.
• Create feedback loops to Product, Support, and Sales to improve onboarding.
• Raise blockers and document knowledge; cross-train team members.

Skills

Data warehousing

BI development

SQL proficiency

Cloud data warehouses

Clear communication

Data applications

Authentication (SSO/SCIM/OAuth)

Row-level security

Embedded analytics

Technical documentation

Requirements gathering

Operational analysis

Education

Bachelor’s degree in computer science or related field or equivalent

Tools

Tableau

Looker

Power BI

Sisense

Qlik

ThoughtSpot

API connectors

External storage integrations

Job description

At Sigma, we believe that a seamless onboarding experience is key to unlocking the full potential of our platform. 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. You’ll be helping developers, analysts, and data teams translate their workflows into Sigma, optimize performance, and drive long‑term success.

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 the path to successful deployment and first value activation based on proactively understanding the 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, or business intelligence.
• 3 years of hands‑on BI development experience in a customer‑facing technical role, using one or more tools such as Tableau, Looker, Power BI, Sisense, Qlik, or ThoughtSpot.
• Hands‑on SQL proficiency, including dimensional data modeling and data shaping techniques, such as 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.

Benefits & Compensation

The base salary range for this position is $140–$170k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the total package that is provided to compensate and recognize employees for their work at Sigma. This role is eligible for stock options, as well as a comprehensive benefits package.

Benefits For Our Full‑Time Employees

• 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

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender or gender identity or expression, veteran, or any other protected status.