Enterprise Solution Engineer - South East / Mid Atlantic

About the Role

The Sigma Solution Engineer acts as the trusted advisor to 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, including presentations, demonstrations, and hands-on development of prototypes.

What You Will Be Doing

• Understand and uncover business challenges and issues faced by the customer and run targeted discovery sessions or workshops.
• 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.

Qualifications We Need

• Minimum 5 years of business intelligence experience.
• Customer relationship skills.
• Strong understanding of database concepts.
• Cloud data warehouse experience with Snowflake, Redshift, or BigQuery.
• ETL experience with 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.
• Ability to travel up to 25%.

Qualifications We Want

• Experience at a SaaS company or with cloud architectures.
• Experience with data analytics business use cases.
• Business consulting experience.
• AI/Apps development experience.
• Startup experience.