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Senior Solutions/Sales Engineer (Remote, USA)

PreSales Collective

Columbia (SC)

Remote

USD 136,000 - 161,000

Full time

Yesterday
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Job summary

A leading company is seeking a Senior Solutions/Sales Engineer to drive innovative Data Streaming use-cases and provide technical leadership. The role involves collaborating with customers, leading proofs of concept, and advocating for product adoption. Ideal candidates will have extensive experience in solutions engineering, cloud architecture, and strong communication skills.

Qualifications

  • 5+ years of Solutions Engineering or similar experience.
  • Experience with Cloud Architecture, Migrations, Deployment.

Responsibilities

  • Advance new Data Streaming use-cases from conception to Go-Live.
  • Lead Technical Proofs of Concept.
  • Guide customers with hands-on support and best practices.

Skills

Automation
GitOps
Kubernetes
Java
Python
SQL
Problem Solving
Communication

Education

Technical certifications in Cloud Development/Architecture
Data Engineering & Integration

Tools

Event-Driven architecture
Data Integration
Database technologies
Data Warehouse technologies
Cloud Architecture

Job description

Senior Solutions/Sales Engineer (Remote, USA)

Be among the first 25 applicants three days ago.

Lensa is the leading career site for job seekers at every stage of their career. Our client, Confluent, is seeking professionals. Apply via Lensa today!

With Confluent, organizations can harness the full power of continuously flowing data to innovate and succeed in the modern digital world. We are creating a new category within data infrastructure—data streaming—that enables organizations to create impactful experiences through data. This drives our purpose to do better every day.

One Confluent. One team. One Data Streaming Platform.

Data Connects Us.

About The Role

Solutions Engineers at Confluent play a crucial role in the sales process, from early evaluation to ongoing value realization for customers. They partner with Account Executives as key technical advisors, helping identify customer needs and designing solutions to meet those needs. They facilitate discussions on new patterns, overcome technical roadblocks, and foster customer success and adoption of Confluent’s technologies.

What You Will Do
  • Advance new and innovative Data Streaming use-cases from conception to Go-Live.
  • Lead Technical Proofs of Concept.
  • Conduct Discovery & Whiteboard Sessions to develop use-cases.
  • Deliver Technical Talks and Workshops to provide Thought Leadership.
  • Guide customers with hands-on support and best practices to enhance operational maturity.
  • Analyze customer consumption trends and identify optimization opportunities.
  • Collaborate with Product and Engineering teams, advocating for the product across various ecosystems.
  • Build strong relationships with key customer stakeholders as a dependable partner.
What You Will Bring
  • 5+ years of Solutions Engineering or similar experience.
  • Experience with Event-Driven architecture, Data Integration & Processing, Database & Data Warehouse technologies.
  • Exposure to Cloud Architecture, Migrations, Deployment, & Application Development.
  • Skills in Automation, GitOps, and Kubernetes.
  • Proficiency in Java, Python, or SQL.
  • Technical certifications in Cloud Development/Architecture, Data Engineering & Integration.
  • Self-starter attitude, eagerness to learn, and problem-solving skills.
  • Excellent presentation and communication skills, capable of engaging audiences from developers to C-level executives.
Additional Information

At Confluent, we value diversity and inclusion, building a global team that reflects various backgrounds and perspectives. Employment decisions are based on merit and job-related criteria.

We offer competitive pay and benefits, considering factors such as experience, education, and location. The estimated annual salary ranges from $136,700 to $160,650, with additional incentives. Benefits details are available here.

Review our Candidate Privacy Notice for details on data collection and privacy.

Additional Details
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Sales and Business Development
  • Industries: Think Tanks

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