Senior Solution Engineer - Cloud & AI Data Platform

Job description

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain and grow knowledge in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.

Embody our culture and values Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR 5+ years technical pre-sales or technical consulting experience OR equivalent experience. This position is not eligible for visa sponsorship.

Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. 6+ years technical pre-sales, technical consulting, technology solutions, practice development, architecture OR equivalent experience. 4+ years experience working in a customer-facing role (e.g., internal and/or external). 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.

Knowledgable in Data Analytics (e.g., Databricks, Fabric, CosmosDB, Purview). Knowledble in programming languages (e.g., Python, R, SQL). Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).