Sigma
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Technical Onboarding Engineer
role at
Sigma
Overview At Sigma, we believe that a seamless onboarding experience is key to unlocking the full potential of our platform. As an Onboarding 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 help BI 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 onboarding with a core focus on customer adoption and self‑sufficiency
Guide experienced BI developers, new to Sigma, on Sigma‑specific methodologies
Tailor the implementation design to the skill‑set of the customer
Teach best practices of using Sigma, relevant to the use case and the skill‑set of the user
Define path to successful onboarding based on proactively understanding the customer’s business needs and purchase drivers for Sigma
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 onboarding kickoff, enablement, training, first‑value use case activation, go‑live, 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
Provide BI implementation expertise / advice in one or more of the following areas:
Sigma best practices and patterns
Data modeling / shaping
Common BI usage patterns
Future product direction / roadmap
Performance optimization
Security including SSO, team organization, and row‑level security
Document new knowledge and cross‑train other members of the team
Qualifications We Need
7+ years of overall experience in data warehousing, analytics or business intelligence
Must have at least 3 of these years of hands‑on BI development, using one of the major BI tools (Tableau, Looker, PowerBI, Sisense, Qlik, ThoughtSpot, etc.) and working in a customer‑facing, technical role (BI developer, consultant or pre‑sales)
Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer
Customer relationship skills
Data warehouse experience – cloud data warehouse preferred (Snowflake, Databricks, Redshift, BigQuery)
Hands‑on experience with dimensional data models and data‑shaping techniques (SCD, dim_date, pivot/unpivot/lateral join with unnesting, etc.)
Hands‑on SQL proficiency
Focus on methodologies for creating BI solutions that are robust, reusable, and easy to understand and maintain
Desire to teach the customer the best way to accomplish their goal
Bachelor’s degree in computer science or related field or equivalent technical experience
Qualifications We Want (Also, skills you’ll learn!)
Experience at a SaaS company or with cloud architectures
Common BI usage patterns
Performance optimization
Experience with data analytics business use cases
ETL experience a plus
Familiarity with JavaScript and Web Development is a plus
Security including SSO, team organization, and row‑level security
Startup experience
Additional Job Details The base salary range for this position is $125,000 – $160,000 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 Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
If you do not feel that you satisfy all the listed requirements, we encourage you to still apply.
About Us Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award‑winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet‑like interface – no coding required.
Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code‑first environment.
Sigma announced its $200M in Series D financing in May 2024 to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise‑wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co‑led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Benefits For Our Full‑Time Employees
Equity
Generous health benefits
Flexible time‑off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog‑friendly office
Sigma Computing 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, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in‑office work environment in all our offices in SF, NYC, and London.
#J-18808-Ljbffr
Technical Onboarding Engineer
role at
Sigma
Overview At Sigma, we believe that a seamless onboarding experience is key to unlocking the full potential of our platform. As an Onboarding 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 help BI 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 onboarding with a core focus on customer adoption and self‑sufficiency
Guide experienced BI developers, new to Sigma, on Sigma‑specific methodologies
Tailor the implementation design to the skill‑set of the customer
Teach best practices of using Sigma, relevant to the use case and the skill‑set of the user
Define path to successful onboarding based on proactively understanding the customer’s business needs and purchase drivers for Sigma
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 onboarding kickoff, enablement, training, first‑value use case activation, go‑live, 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
Provide BI implementation expertise / advice in one or more of the following areas:
Sigma best practices and patterns
Data modeling / shaping
Common BI usage patterns
Future product direction / roadmap
Performance optimization
Security including SSO, team organization, and row‑level security
Document new knowledge and cross‑train other members of the team
Qualifications We Need
7+ years of overall experience in data warehousing, analytics or business intelligence
Must have at least 3 of these years of hands‑on BI development, using one of the major BI tools (Tableau, Looker, PowerBI, Sisense, Qlik, ThoughtSpot, etc.) and working in a customer‑facing, technical role (BI developer, consultant or pre‑sales)
Clear communication style and the ability to explain complex technical issues in a simple manner, adapting to the knowledge level of the customer
Customer relationship skills
Data warehouse experience – cloud data warehouse preferred (Snowflake, Databricks, Redshift, BigQuery)
Hands‑on experience with dimensional data models and data‑shaping techniques (SCD, dim_date, pivot/unpivot/lateral join with unnesting, etc.)
Hands‑on SQL proficiency
Focus on methodologies for creating BI solutions that are robust, reusable, and easy to understand and maintain
Desire to teach the customer the best way to accomplish their goal
Bachelor’s degree in computer science or related field or equivalent technical experience
Qualifications We Want (Also, skills you’ll learn!)
Experience at a SaaS company or with cloud architectures
Common BI usage patterns
Performance optimization
Experience with data analytics business use cases
ETL experience a plus
Familiarity with JavaScript and Web Development is a plus
Security including SSO, team organization, and row‑level security
Startup experience
Additional Job Details The base salary range for this position is $125,000 – $160,000 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 Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
If you do not feel that you satisfy all the listed requirements, we encourage you to still apply.
About Us Sigma is the only cloud analytics and business intelligence tool empowering business teams to break free from the confines of the dashboard, explore data for themselves, and make better, faster decisions. The award‑winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet‑like interface – no coding required.
Since launching with its unique interface, Sigma Computing has added features such as collaboration tools and embedded analytics capabilities. The most recent product launch included a set of AI tools such as forecasting capabilities, an AI copilot and a notebook interface for users who prefer a code‑first environment.
Sigma announced its $200M in Series D financing in May 2024 to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise‑wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co‑led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Benefits For Our Full‑Time Employees
Equity
Generous health benefits
Flexible time‑off policy. Take the time off you need!
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program
Dog‑friendly office
Sigma Computing 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, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in‑office work environment in all our offices in SF, NYC, and London.
#J-18808-Ljbffr