Help advance new & innovative Data Streaming use-cases from conception to Go-Live
Execute on and lead Technical Proofs of Concept
Conduct Discovery & Whiteboard Sessions to develop new use-cases
Provide Thought Leadership by delivering Technical Talks and Workshops
Guide customers with hands-on help and best practice to drive operational maturity of their Confluent Deployment
Analyze Customer Consumption trends and identify Optimization opportunities
Work closely with Product and Engineering teams, and serve as a key Product advocate across the Customer, Partner and Industry ecosystem
Forge strong relationships with key customer stakeholders and serve as a dependable partner for them

Requirements

5+ years of Solutions Engineering or similar work experience
Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies
First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development
Experience with Automation, GitOps and Kubernetes
Proficiency in Java, Python or SQL
Technical certifications - Cloud Developer/Architect, Data Engineering & Integration
Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems
Exceptional presentation and communications capabilities.
Confidence presenting to a highly skilled and experienced audience, ranging from developers to enterprise architects and up to C-level executives

Benefits

Offers Equity
Offers Commission

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Event-Driven architectureData IntegrationData Processing TechniquesDatabase technologiesData Warehouse technologiesCloud ArchitectureMigrationsDeploymentApplication DevelopmentAutomation

Soft Skills

self-starter behaviordesire to learnpresentation capabilitiescommunication capabilitiesrelationship buildingthought leadershipproblem-solving

Certifications

Cloud DeveloperCloud ArchitectData EngineeringData Integration