160 applicants

Company

Confluent · 6 hours ago

Specialist Solutions Engineer (Remote, USA)

USA

Full-time

Remote

Mid Level

$137K/yr - $161K/yr

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Comp. & Benefits

H1B Sponsor Likely

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Responsibilities

Enable Customers with Real-Time Architectures

Understand customer challenges with traditional Data Warehouses, Data Lakes, and Batch Analytics workflows, and guide them toward real-time, distributed architectures using Kafka, Flink, Kafka Streams, and modern ETL/ELT frameworks.

Help customers optimize their data platforms by focusing on early-stage data enrichment, filtering, and processing for better performance and cost efficiency.

Provide Technical Expertise

Assist customers and sales teams in designing, deploying, and optimizing real-time data streaming platforms, integrating Kafka with distributed processing, and ensuring alignment with business goals.

Architect solutions to unify operational and analytical workloads, enabling a data mesh or streaming-first architecture.

Collaborate Across Teams

Partner with sales, product management, marketing, and engineering to translate customer feedback into continuous improvements for Confluent’s platform.

Work cross-functionally to refine product messaging and technical positioning, ensuring clarity and alignment with customer needs.

Drive Thought Leadership

Lead technical workshops, webinars, and sessions to showcase the advanced capabilities of Kafka, Kafka Connect, Flink, and other data streaming tools.

Advocate for best practices in real-time architectures through case studies, training sessions, and field engagement with both technical and business stakeholders.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

KafkaData WarehousesData LakesDistributed SystemsETL toolsPythonJavaCDC ConnectorsReal-time analyticsCloud-native platformsAvroParquetAWSGCPAzurePre-sales engineeringProof-of-concept developmentSolution designTechnical presentations

Required

Proven experience architecting and implementing enterprise-scale, real-time data streaming solutions with Kafka and related ecosystems.

Deep knowledge of Data Warehouses, Data Lakes, Lakehouses, and Distributed Systems, including CDC Connectors, ETL tools, and RDBMS platforms.

Expertise in distributed data processing, data governance, and real-time analytics.

Hands-on programming experience with Python, Java, or similar, especially for building streaming and ETL pipelines.

A demonstrated ability to become a trusted advisor to Chief Data Officers, Data Engineers, Data Scientists, Data Analysts, and Architects, driving customer success and platform adoption.

Strong pre-sales engineering skills, including technical presentations, proof-of-concept development, and hands-on solution design.

Proven ability to work across cross-functional teams, including product management, engineering, and marketing, to drive shared outcomes.

A passion for learning and adapting to emerging technologies, particularly within the Kafka ecosystem.

Preferred

Extensive experience with modern data architectures, including Data Warehouses, Lakehouses, data formats (e.g., Avro, Parquet), and cloud-native platforms (AWS, GCP, Azure).

Expertise in integrating Kafka-based solutions with cloud services and enterprise data ecosystems.

Demonstrated success designing and implementing distributed streaming systems for large-scale enterprises, including Fortune 1000 companies.

Benefits

Competitive equity package

Additional commission and/or bonus pay

Wide range of employee benefits

Company

Confluent

Glassdoor

3.8

Confluent offers a streaming platform based on Apache Kafka that enables companies to easily access data as real-time streams.

Founded in 2014

Mountain View, California, USA

1001-5000 employees

https://confluent.io

H1B Sponsorship

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2023 (52)

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2020 (66)