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At Confluent, one of our core values is to Earn Our Customers’ Love. As a Senior Customer Solutions Consultant, you will be a strategic partner to our enterprise customers, helping them maximise the value of the Confluent platform. You’ll combine strong technical knowledge with customer-facing skills to guide clients on best practices, resolve complex challenges, and ensure their deployments' scalability and technical health. In this role, you’ll manage a portfolio of high-value customers, working closely with technical and business stakeholders to understand their goals, map solutions, and drive adoption of Confluent’s technology. You’ll be expected to: Advise customers on technical architectures and integration patterns; Spot opportunities to optimise deployments and influence customer roadmaps; Act as a trusted advisor bridging business objectives with technical execution.
Job Responsibility:
Be a Trusted Technical Partner for Customers: Build long-term relationships with enterprise customers, positioning yourself as their go-to technical advisor. Guide them on architectural best practices, integration patterns, and scalability strategies that maximise the value of the Confluent platform
Drive Customer Outcomes: Take ownership of customer success by ensuring their deployments' technical health and maturity. Anticipate challenges, proactively propose solutions, and influence technical decision-making to align with strategic business goals
Collaborate Across Teams with Impact: Partner closely with Sales, Customer Success, and Product to represent the customer’s voice. Translate technical insights into actionable recommendations and drive cross-functional alignment that accelerates customer adoption
Provide Analytical & Strategic Advisory: Analyse customer environments to uncover opportunities for optimisation, performance tuning, and advanced use cases (e.g., Flink, networking, disaster recovery). Shape customer roadmaps through data-driven recommendations and position Confluent as a trusted long-term partner
Requirements:
Analytical skills – the ability to spot patterns, inconsistencies, and areas of opportunity
Strategic thinking – using multiple inputs to shape customer-focused insights and long-term planning
Communication mastery – Excellent presentation and communication skills, capable of explaining complex issues and solutions to a highly skilled and experienced audience. Delivering clear, structured, assertive messaging to various technical and business stakeholders
Learning agility – adapting quickly to new contexts and a strong interest in new technologies
Strong motivation and ambition to consistently grow and develop in a dynamic, high-growth environment
Proficiency in English – written and verbal
Nice to have:
Proficiency in additional languages besides English
Preferred but not required is a bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, or a related quantitative field, or related experience in a technical domain
Experience in building solutions with Apache Kafka, Hadoop, relational and NoSQL databases, message queues, APIs, and related products
Proficiency in Java or other modern programming languages and distributed systems
A basic understanding of Linux (e.g., Red Hat or Debian) is a plus, but not required