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Enterprise Solution Engineer - South East​/Mid Atlantic

Job in Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: OpenKrill
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Solution Engineer - South East / Mid Atlantic

Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming.

We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results.

The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle.

This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our field Regional Sales Managers (Enterprise) focused on sales in new and existing accounts.

What You Will Be Doing
  • Understand and uncover business challenges and issues faced by the customer and be able to run a targeted discovery sessions or workshop
  • Engage with business users to define, create, and showcase solution prototypes
  • Build and present customized demos for customers, trade shows, and webinars
  • Confidently present and articulate the business value of the Sigma platform to all levels within an organization
  • Deliver product, technical, and security related responses on RFPs/RFIs
  • Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
  • Work as a team player by contributing, learning, and sharing new knowledge
  • Be conversant in integration and data migration approaches to facilitate enterprise-type sales cycles
  • Manage multiple customer engagements concurrently
  • Attain quarterly and annual objectives assigned by management
  • Become a Sigma champion and product expert, prospects and customers will look to you for advice and expertise
Qualifications We Need
  • Minimum 5 years of business intelligence experience
  • Customer relationship skills
  • Strong understanding of database concepts
  • Cloud data warehouse experience
    - Snowflake, Redshift, Big Query
  • ETL experience
    - Fivetran, Matillion or traditional ETL
  • Excellent organizational skills and ability to multitask in a fast-paced startup environment
  • Experience implementing production business intelligence solutions or proof of concepts
  • Bachelor’s degree in computer science or related field or equivalent technical & business experience
  • 25% Travel
Qualifications We Want (also, skills you’ll learn!)
  • Experience at a SaaS company or with cloud architectures
  • Experience with data analytics business use cases
  • Business consulting
  • AI/Apps development experience
  • Startup experience
About Sigma

Sigma is a modern analytics & business intelligence (BI) application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface—empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits.

Sigma is self-service analytics as it was meant to be: a single source of truth that eliminates data extracts, simplifies analysis, and drives BI…

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