Technical Service Advisor- ES
Republic ServicesFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess a strong technical background in areas such as application development, system administration, or distributed computing. Excellent communication, presentation, and interpersonal skills are essential, along with a customer-centric attitude and the ability to handle critical customer situations effectively. Experience with Kafka, Flink, and Confluent is preferred.
The Customer Success Technical Architect will act as a trusted technical advisor to customers, ensuring their success, retention, and expansion by providing guidance on the Confluent product suite. This role involves partnering with internal teams to accelerate customer time-to-value, maximize product consumption, and achieve business objectives. Responsibilities include advising on architectures, guiding customers through technical lifecycle activities, recommending advanced technical topics, conducting customer reviews, documenting and transferring knowledge, influencing product roadmaps, and assisting with customer issue resolution.
Data streaming solutions for real-time processing
Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.