Staff Solution Sales Engineer

IBM

Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

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Similar $196k

$136k most similar roles pay here $257k

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TL;DR · Staff Solution Sales Engineer

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As a Staff Solution Sales Engineer at Confluent in Dallas, you will join the high-performing sales team to drive technical engagements and support complex enterprise deals. Your primary responsibilities include conducting deep-dive architecture reviews, delivering product demonstrations, and crafting tailored solutions for large-scale data streaming challenges. Day-to-day, you will engage with clients to understand their business needs, provide expert guidance on Confluent’s platform capabilities, and collaborate closely with internal teams to ensure successful project implementations. This role requires expertise in Apache Kafka, cloud platforms like AWS or Azure, and proficiency in scripting languages such as Python or Bash. Ideal candidates possess strong problem-solving skills, a deep understanding of data architecture, and experience in the big data and streaming analytics domain.

Skills

Kafka Confluent CI/CD AWS Azure GCP Docker Kubernetes Terraform Python Java PostgreSQL MySQL REST APIs JSON DevOps Scalability Security

What you'll do

Analyze customer requirements to recommend Confluent solutions.
Design technical architectures for enterprise data streaming platforms.
Conduct product demonstrations and proof-of-concept projects.
Provide pre-sales technical support and answer complex queries.
Collaborate with sales teams to close deals by addressing technical objections.

What we're looking for

Minimum 5 years of experience in enterprise software sales or technical pre-sales.
Proven track record of selling complex data and analytics solutions to Fortune 1000 companies.
Strong understanding of cloud-based integration platforms and streaming technologies.
Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees preferred.
CISSP, CISM, or other relevant security certifications highly desirable.
Experience working with Kafka, Confluent Platform, and related data streaming technologies.

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