Senior Customer Success Technical Architect

Role overview

Core responsibilities

• Coordinate with Sales, Product, Services, Support, and Training to champion customers and drive technical success.
• Identify technical objections and develop approaches to remove adoption blockers.
• Guide architecture planning, cluster and security design, monitoring, automation, upgrades, migrations, hardening, and high availability.
• Advise on data streaming maturity, including data mesh, stream processing, utilization optimization, and performance tuning.
• Present reviews of customer technical health and operating performance; document and transfer knowledge.
• Use customer insights to influence the Confluent product roadmap and help resolve customer issues with Support and Core Engineering.

Staff-level expectations

• Lead complex, high-visibility, or at-risk customer engagements and bring structure to ambiguity.
• Build trusted relationships with customer champions, senior leaders, and economic stakeholders; connect technical priorities to business outcomes.
• Drive multi-quarter technical success plans that improve customer health, adoption, consumption, retention, and growth.
• Turn cross-customer patterns into reusable frameworks, playbooks, standards, and scalable practices.
• Mentor CSTAs and contribute to hiring, onboarding, interviewing, and enablement.
• Influence cross-functional strategy and drive operational improvements in tooling, processes, reporting, knowledge management, and engagement quality.
• Share expertise through forums, customer enablement, industry events, and written thought leadership.

Required expertise

• Demonstrated success in a technical field role for a product or SaaS company with enterprise customers.
• Strong understanding of modern infrastructure and streaming technologies; ability to learn quickly.
• Excellent interpersonal and communication skills for explaining complex solutions to varied audiences.
• Ability to manage multiple customers and initiatives while delivering results across expansion, satisfaction, feature adoption, and retention.
• Hands-on knowledge of AWS, GCP, or Azure; cloud networking and security technologies such as VPC, Private Link, TLS/SSL, SASL, or Kerberos.
• Experience prototyping and analyzing client-solution code in Java, Python, Go, or another language; JVM tuning and troubleshooting experience.
• Experience configuring, tuning, and troubleshooting Red Hat- and Debian-based Linux distributions.
• Flexibility to travel up to 20% of the time.

Preferred expertise

• Apache Kafka and Apache Flink production workload experience, including design, deployment, operation, and troubleshooting.
• Experience with distributed systems or real-time streaming solutions using Kafka and technologies such as Spark, Flink, Hadoop, or Cassandra.
• Knowledge of streaming architecture, event-driven design, data integration, schema management, stream processing, and highly available distributed systems.
• Experience improving production streaming performance, scalability, reliability, and cost efficiency; guiding migrations, modernization, adoption, or multi-cloud strategies.
• Experience creating reference architectures, proofs of concept, demonstrations, or reusable implementation patterns.
• Familiarity with observability, capacity planning, disaster recovery, governance, and enterprise streaming security.
• Technical community contributions such as talks, blogs, workshops, open source, or internal enablement; English and Arabic fluency.