Senior Solutions Engineer, Confluent
Kafka Connect
CA$132.4-155.6k
+ Equity + Commission and/or bonus
Data streaming platform
Job no longer available
Data streaming platform
1001+ employees
Job no longer available
CA$132.4-155.6k
+ Equity + Commission and/or bonus
1001+ employees
Company mission
To help every organization harness data in motion so they can compete and thrive in the modern world.
Role
Who you are
- Ideal candidates may come from backgrounds such as Technical Account Managers, Sales Engineers, or Professional Services
- Become a trusted advisor for Software Engineers, Architects, and Executives, driving platform adoption
- Hands-on experience architecting complex, enterprise-level data streaming solutions
- Experience with Kafka, Distributed systems, CDC Connectors, RDBMS or NoSQL databases, and ETL tools in enterprise environments
- Ability to quickly learn and adapt to emerging technologies, particularly in the Kafka ecosystem
- Familiarity with Java or Python, and knowledge of building ETL applications
- 7+ Experience as a Solutions Engineer or Technical Account Manager
- Experience operating within and across cross-functional teams including product management, engineering, sales, marketing, etc
Desirable
- Extensive knowledge of Kafka Connect, distributed data pipelines, and cloud integration (AWS, GCP, Azure)
- Experience working in cross-functional teams
- Expertise in designing and implementing distributed streaming systems for Fortune 1000 companies
What the job involves
- We’re looking for a seasoned technologist to join our Advanced Technology Team, a specialist group within Confluent that focuses on the deep technical aspects of Kafka and distributed systems
- As a technical advisor to the sales team, you will collaborate closely with product management and engineering, serving as a product advocate to prospects and customers
- This role demands expertise in Kafka, pre-sales engineering, and distributed systems
- Engage with Customers: Understand clients' challenges, helping them design distributed data architectures using Kafka, Kafka Connect, and distributed data processing
- Provide Technical Expertise: Assist the sales team in architecture, deployment, and optimization of customer data streaming platforms, integrating Kafka and real-time processing
- Collaborate Across Teams: Work with sales, product management, and engineering teams to turn customer feedback into product improvements
- Educational Outreach: Lead workshops and technical sessions on the advanced capabilities of Kafka, Kafka Connect, and related data integration tools
- Refine Messaging: Continuously improve and adapt messaging on Kafka and streaming solutions based on field feedback, Bring back lessons learned in the field and collaborate with product management, marketing, and enablement teams to incorporate them in a cycle of continuous improvement
Our take
Confluent is a commercial company built on top of the open-source Apache Kafka project. Confluent and Kafka have developed a streaming data technology that processes massive amounts of information in real-time. The streaming database technology was developed at LinkedIn as a way of moving massive amounts of messages. The company decided to open-source that tech in 2011, and Confluent launched as the commercial arm in 2014.
While the base open-source component remains available for free download, it doesn’t include the additional tooling the company has built to make it easier for enterprises to use Kafka. Confluent's value add is in those additional tools, including a cloud version of the product and a marketplace for sharing extensions to the platform.
Confluent expanded strategic partnerships with Microsoft and acquired Immerok, and in 2023 expanded its cloud platform. 2024 saw further product expansions with the launch of the Confluent Migration Accelerator, all exemplifying how the company is living up to its name by rocket-boosting the benefits of Apache Kafka integration for companies.
Now, it looks like IBM is eyeing the company for acquisition and Confluent looks to be a natural fit. Long positioned as the real-time backbone behind modern application, Confluent would gain global scale and an even deeper enterprise reach under iBM, while cementing its role at the center of AI-driven architectures. For COnfluent, the deal would marka shift from fast-growing independent disruptor to foundational infrastructure player powering the next wave of enterprise AI.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Apr 2020
$250m
SERIES E
Jan 2019
$125m
SERIES D
Total funding: $455.9m
Company HQ
Old Mountain View, Mountain View, CA
Leadership
Jay Kreps
(Co-Founder & CEO)Prior to co-founding Confluent in 2014, Jay spent 7 years at LinkedIn, holding various roles including Principal Engineer and Principal Staff Engineer.
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