Solutions Architect
With Confluent, organisations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better everyday – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organisation to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About the Role:
We are looking for a Solutions Architect to join our Professional Services team. As a Solutions Architect, you will help customers leverage streaming architectures and applications to achieve their business results. In this role, you will interact directly with customers to provide software architecture, design, and operations expertise that leverages your deep knowledge of and experience in Apache Kafka, the Confluent platform, and complementary systems such as Hadoop, Spark, Storm, relational and NoSQL databases. You will develop and advocate best practices, gather and validate critical product feedback, and help customers overcome their operational challenges. Throughout all these interactions, you will build a strong relationship with your customer in a very short space of time, ensuring exemplary delivery standards. You will also have the opportunity to help customers build state-of-the-art streaming data infrastructure, in partnership with colleagues who are widely recognized as industry leaders, as well as optimizing and debugging customers existing deployments.
What You Will Do:
- Helping a customer determine his/her platform and/or application strategy for moving to a more real-time, event-based business. Such engagements often involve remote preparation; presenting an onsite or remote workshop for the customer’s architects, developers, and operations teams; investigating (with Engineering and other coworkers) solutions to difficult challenges; and writing a recommendations summary doc.
- Providing feedback to the Confluent Product and Engineering groups
- Building tooling for another team or the wider company to help us push our technical boundaries and improve our ability to deliver consistently with high quality
- Testing performance and functionality of new components developed by Engineering
- Writing or editing documentation and knowledge base articles, including reference architecture materials and design patterns based on customer experiencesHoning your skills, building applications, or trying out new product features
- Participating in community and industry events
What You Will Bring:
- Deep experience designing, building, and operating in-production Big Data, stream processing, and/or enterprise data integration solutions, ideally using Apache Kafka
- Demonstrated experience successfully managing multiple B2B infrastructure software development projects, including driving expansion, customer satisfaction, feature adoption, and retention
- Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions)
- Experience using cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure) for running high-throughput systems
- Experience with Java Virtual Machine (JVM) tuning and troubleshooting
- Experience with distributed systems (Kafka, Hadoop, Cassandra, etc.)
- Proficiency in Java
- Strong desire to tackle hard technical problems, and proven ability to do so with little or no direct daily supervision
- Excellent communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions
- Ability to quickly learn new technologies
- Ability and willingness to travel to meet with customers
Come As You Are
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
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