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We are seeking an experienced Pre-Sales Engineer to lead the technical aspects of customer engagements around Confluent's Data Streaming platform.
This role combines deep technical expertise with strong business acumen and requires the ability to engage with both technical and executive stakeholders. The successful candidate will act as a trusted advisor throughout the sales cycle, helping customers understand how real-time data streaming solutions can address business and technical challenges.
The role includes solution design, technical discovery, architecture discussions, demonstrations, Proof of Concept (POC) ownership, and close collaboration with sales, engineering, and product teams.
Key Responsibilities
- Partner with Sales teams to drive the technical evaluation process for prospective customers.
- Conduct discovery workshops to understand customer business objectives, technical environments, and data-related challenges.
- Design and present end-to-end solutions based on Confluent and Apache Kafka technologies.
- Lead technical discussions with architects, engineering teams, platform owners, and executive stakeholders.
- Deliver product demonstrations, workshops, and technical presentations.
- Scope, execute, and manage Proof of Concept engagements.
- Develop trusted relationships with customers throughout the sales cycle and beyond.
- Advise customers on best practices related to Data Streaming, Event-Driven Architecture, and modern data platforms.
- Collaborate closely with Product Management and Engineering teams to provide customer feedback and support product adoption.
- Stay current on industry trends, emerging technologies, and the broader streaming data ecosystem.
- 5+ years of experience as a Pre-Sales Engineer, Solutions Engineer, Sales Engineer, Solutions Architect, or a similar customer-facing technical role.
- Deep expertise with Confluent Platform and Confluent Cloud.
- Proven experience working with Enterprise customers and managing complex technical sales cycles.
- Strong understanding of Apache Kafka, Data Streaming platforms, Event-Driven Architecture, and Messaging technologies.
- Experience leading discovery sessions, technical workshops, customer presentations, product demonstrations, and POCs.
- Strong understanding of modern cloud and data architectures.
- Ability to communicate complex technical concepts to both technical and non-technical audiences.
- Exceptional presentation, communication, and stakeholder management skills.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- Hands-on experience with Confluent Platform and/or extensive experience designing Kafka-based solutions.
Advantages
- Experience designing and implementing large-scale Kafka-based solutions.
- Knowledge of distributed systems and large-scale data processing architectures.
- Experience with AWS, Azure, and/or Google Cloud Platform.
- Experience with Kubernetes and containerized environments.
- Experience with ETL processes, data pipelines, and integration platforms.
- Development experience using Java, Python, Node.js, or Go.
- Previous experience in technical consulting, solution architecture, or enterprise platform adoption initiatives.
This position is open to all candidates. We are committed to diversity and view it as a source of strength and growth. We believe in inclusion and empower women and men alike.
Skills Required
- 5+ years in Pre-Sales Engineer, Solutions Engineer, Sales Engineer, Solutions Architect, or similar customer-facing technical role
- Proven experience working with Enterprise customers and managing complex technical sales cycles
- Strong understanding of Apache Kafka, Data Streaming platforms, Event-Driven Architecture, and Messaging technologies
- Experience leading discovery sessions, technical workshops, customer presentations, product demonstrations, and POCs
- Strong understanding of modern cloud and data architectures
- Ability to communicate complex technical concepts to both technical and non-technical audiences
- Exceptional presentation, communication, and stakeholder management skills
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- Hands-on experience with Confluent Platform and/or extensive experience designing Kafka-based solutions
KPMG Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KPMG and has not been reviewed or approved by KPMG.
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Leave & Time Off Breadth — Feedback suggests the firm provides generous Paid Time Off, paid holidays, sabbatical leave, military leave, paid volunteer time, and paid sick days. Flexibility is further supported through a hybrid work approach intended to promote well-being.
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Healthcare Strength — Feedback suggests employees have access to comprehensive health, dental, and vision insurance alongside mental health benefits. Tax-advantaged accounts such as FSA and HSA further strengthen the healthcare offering.
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Retirement Support — Feedback suggests the package includes a 401(k) plan, a pension plan, life and AD&D insurance, disability coverage, and retiree health and medical benefits. These elements indicate a strong focus on long-term financial security.
KPMG Insights
What We Do
KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We have 273,000 outstanding professionals working together to deliver value in 143 countries and territories. With a worldwide presence, KPMG continues to build on our successes thanks to clear vision, defined values and, above all, our people. Our industry focus helps KPMG firms’ professionals develop a rich understanding of clients' businesses and the insight, skills and resources required to address industry-specific issues and opportunities. The independent member firms of the KPMG network are affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. Each KPMG firm is a legally distinct and separate entity and describes itself as such
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