Full-Time

Technical Onboarding Engineer

Confirmed live in the last 24 hours

Sigma Computing

Sigma Computing

501-1,000 employees

Cloud-based data analytics platform for businesses

Data & Analytics
AI & Machine Learning

Compensation Overview

$110k - $135kAnnually

+ Variable Pay + Stock Options

Senior, Expert

San Francisco, CA, USA

In-office work environment in both SF & NYC office.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Redshift
BigQuery
SQL
Tableau
Databricks
Looker
Data Analysis
Snowflake

You match the following Sigma Computing's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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
Responsibilities
  • 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
Desired Qualifications
  • 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

Sigma Computing offers a cloud-based data analytics platform that allows businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features like data collection and revenue planning without needing coding skills. The platform is scalable, capable of handling billions of rows of data, and promotes self-service capabilities, enabling users to conduct their own analyses. Recently, Sigma introduced AI features such as natural language processing to help businesses gain insights more quickly.

Company Stage

Series D

Total Funding

$550.9M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Sigma raised $200M in Series D funding to enhance its platform.
  • The introduction of Ask Sigma improves user interaction with data through natural language.
  • New executive appointments position Sigma for strategic growth and expansion.

What critics are saying

  • Emerging AI-driven analytics platforms could erode Sigma's market share.
  • Rapid AI advancements may outpace Sigma's current capabilities, risking obsolescence.
  • Reliance on data warehouse partnerships poses a risk if partners develop competing solutions.

What makes Sigma Computing unique

  • Sigma offers a spreadsheet-like interface for non-technical users to analyze data.
  • The platform integrates with Snowflake and BigQuery for real-time data access.
  • Sigma's AI features include natural language processing and sentiment analysis.

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Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.