Senior Solutions Engineer, Data Streaming & Cloud

IBM; Armonk (NY); On-site; USD 130,000 - 170,000; Full time

Job summary

IBM Global Sales seeks Solutions Engineers to advance data streaming use-cases from concept to Go-Live and to partner with Account Executives as the key technical advisor for customers.

You will surface stated or implicit business needs, design technical solutions, and drive adoption with hands-on guidance, PoCs, and best practices across Confluent technology. Collaborate with product and engineering to champion customer outcomes.

Qualifications

• 5+ years in Solutions Engineering or similar role.
• Experience with Event-Driven architecture, data integration & data warehousing.
• First-hand exposure to Cloud architecture, migrations, deployment & app development.

Responsibilities

• 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.

Skills

5+ years exp

Event-driven

Data integration

Cloud architecture

Automation & GitOps

Kubernetes

Java/Python/SQL

Certifications

Presentation skills

Executive communication

Job description

IBM Global Sales seeks Solutions Engineers to advance data streaming use-cases from concept to Go-Live and to partner with Account Executives as the key technical advisor for customers.

You will surface stated or implicit business needs, design technical solutions, and drive adoption with hands-on guidance, PoCs, and best practices across Confluent technology. Collaborate with product and engineering to champion customer outcomes.