Customer Deployment Engineer

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

Benefits offered by this job

Stock options

Comprehensive benefits package

Job summary

Sigma Computing is seeking a Deployment Engineer to guide customers through their first use case, optimize performance, and empower self-sufficiency. You’ll collaborate with Sales, Customer Success, Technical Support, and Product to tailor onboarding and deliver measurable value.

You’ll translate customer workflows into Sigma solutions, coach analysts and data engineers, and own the deployment path from kickoff to first value.

Qualifications

• 6+ years in data warehousing, AI app development, data analytics or BI.
• 3+ years in hands-on BI development in customer-facing roles using BI tools.
• Strong SQL with dimensional modeling and data shaping techniques.
• Experience with cloud data warehouses: Snowflake, Databricks, Redshift, BigQuery.
• Clear communicator who can explain complex topics to non-technical stakeholders.
• Experience designing data apps and API/connectors for cross-product workflows.

Responsibilities

• Drive new customer deployment with focus on environment setup, adoption, and self-sufficiency.
• Coach business users, data engineers and developers on Sigma methodologies.
• Define deployment path and first value activation based on customer needs and drivers.
• Provide implementation expertise in: Sigma best practices, environment setup, data connection configuration, and migration to Sigma.
• Collaborate on data modeling/shaping, performance optimization, security (SSO, row-level security) and enterprise authentication.
• Manage customer milestones from sales handoff to first value activation and handoff to CS.

Skills

Data warehousing

AI app development

Data analytics

BI

SQL proficiency

Education

Bachelor’s degree in computer science or related field

Tools

Tableau

Looker

Power BI

Sisense

Qlik

ThoughtSpot

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 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 help developers, analysts, and data teams translate their workflows into Sigma, optimize performance, and drive long-term success.

Responsibilities

• Drive new customer deployment with a core focus on environment setup, customer adoption, and self-sufficiency.
• Guide business users, data engineers, and developers on Sigma-specific methodologies, tailoring coaching and implementation guidance to the customer’s skill set.
• Define 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 in the following areas:
• Sigma best practices and patterns for both app development and BI development
• Sigma environment setup and data connection configuration
• 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, 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

• 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 tools: Tableau, Looker, Power BI, Sisense, Qlik, or ThoughtSpot
• Hands-on SQL proficiency, including dimensional data modeling and data shaping techniques (e.g., slowly changing dimensions, date dimensions, pivot, unpivot, and lateral joins with unnesting)
• Experience with cloud data warehouses: Snowflake, Databricks, Amazon Redshift, and Google BigQuery
• Clear communication style and the ability to explain complex technical issues simply, adapting to the customer’s knowledge level
• Experience building data applications for cross-product workflows that are performant and well-structured, including 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 (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 and Benefits

The base salary range for this position is $140-$170k annually. Compensation may vary outside of this range based on qualifications, skills, competencies and experience. This role is eligible for stock options and a comprehensive benefits package.

All Sigma employees are expected to follow the company's confidentiality and security standards for handling sensitive data and to abide by Sigma’s data security policies.

Equal Opportunity

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, gender identity or expression, veteran status, or any other protected status.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.

Privacy and AI notes: Sigma processes personal data for evaluating candidacy and recruitment purposes, in compliance with applicable laws. Our hiring process uses AI tools to assist in screening and assessment, designed to complement human decision-making.