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 be helping 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 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 / data analytics / business intelligence
- Must have at least 3 of these years of hands-on BI development, using one of the major Business Intelligence tools (Tableau, Looker, PowerBI, Sisense, Qlik, Thoughtspot etc…), working in a customer-facing, technical role (BI developer, BI consultant or BI 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 - $150,000 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.
Come join us!
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.
