Enterprise Solution Engineer - East

About the Role

Sigma is growing the Solution Engineering team and looking for a Solution Engineer who will act as a trusted advisor to prospects and customers, working in tandem with Sales, Business Development, Product Management, Engineering, and Support. You will manage and deliver on all activities related to the technical presales cycle, including presentations, demonstrations, and hands-on prototype development, aligning closely with Regional Sales Managers.

What You Will Be Doing

• Understand and uncover business challenges faced by customers 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 and maintain skill sets.
• Contribute, learn, and share knowledge across the team.
• 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.

Qualifications

Required

• Minimum 5 years of business intelligence experience.
• Strong understanding of database concepts.
• Cloud data warehouse experience (Snowflake, Redshift, BigQuery).
• ETL experience (Fivetran, Matillion, or traditional ETL).
• Experience implementing production business intelligence solutions or proofs of concept.
• Bachelor’s degree in Computer Science or related field, or equivalent technical and business experience.
• Excellent organizational skills and ability to multitask in a fast-paced startup environment.
• Ability to travel up to 25%.

Preferred

• Experience at a SaaS company or with cloud architectures.
• Experience with data analytics business use cases.
• Startup experience.