Senior Solutions Architect (m/f/d) - APAC

As a Senior Solutions Architect at Ververica, your main responsibilities revolve around designing scalable and efficient stream-processing solutions, providing hands-on technical support, and collaborating with customers throughout the implementation of Apache Flink and the Ververica platform. You'll engage in developing prototypes to validate solutions and conduct technical training and workshops.

To qualify for the Senior Solutions Architect role at Ververica, candidates should hold a Bachelor’s or Master’s degree in Computer Science or a related technical field. Additionally, you must have over 7 years of experience in professional services and at least 5 years working specifically with distributed systems and software architecture, including a minimum of 2 years in Apache Flink.

The Senior Solutions Architect position at Ververica requires strong proficiency in Java, with beneficial knowledge in Python and SQL. Familiarity with containerization tools, cloud-native architectures, and hands-on experience with platforms like AWS or GCP are also crucial for success in this role.

The Senior Solutions Architect role at Ververica offers a unique opportunity to work closely with customers to tackle complex technical issues, contribute to innovative real-time data processing solutions, and continuously advance your skills in a dynamic environment that fosters collaboration and creativity.

For the Senior Solutions Architect role at Ververica, candidates should be willing to travel when required to provide on-site support for customer engagements and technical workshops, ensuring hands-on assistance and guidance in optimizing their streaming data solutions.

Begin by analyzing the client’s requirements and understanding their data flow. Discuss the architecture and components necessary for deployment, focusing on factors like scalability and fault tolerance, while ensuring that your proposed solution aligns with best practices in stream processing.

Highlight your hands-on experience with distributed systems, mentioning specific projects where you’ve designed or implemented solutions. Emphasize your problem-solving skills and ability to optimize performance under diverse conditions, which is crucial for a Senior Solutions Architect.

Discuss strategies like monitoring system metrics, identifying bottlenecks, executing performance tests, and optimizing configurations. Provide examples of past experiences where you successfully improved system performance, showcasing your analytical approach.

Share your commitment to continuous learning by participating in workshops, attending industry conferences, reading technical blogs, and being active in relevant communities. Explain how you apply this knowledge to your work, especially at Ververica.

Provide a specific example of a challenge you faced, detailing your approach to problem-solving, collaboration with team members, and communication with the customer to resolve the issue effectively, thus demonstrating your skills in technical environments.

Key factors include technical expertise, strong communication skills, and the ability to work collaboratively in a team environment. Highlight your experience in these areas and how they’ll contribute to your success at Ververica.

Illustrate a scenario where you simplified complex technical concepts through relatable analogies or visual aids. Emphasize your ability to ensure the audience understood the implications of the information for their business needs.

Discuss how technologies like Docker and Kubernetes facilitate the deployment, scaling, and management of applications in a cloud-native environment, making it easier to manage dependencies and improve system reliability and performance.

Best practices include being clear and concise, using consistent terminology, and including examples and visual aids to improve understanding. Discuss how maintaining high-quality documentation enhances collaboration and fosters effective knowledge transfer.

Share your passion for the possibilities that real-time data processing brings in terms of immediate insights and decision-making. Explain how these capabilities drive innovation and enable businesses to be more responsive in a fast-paced digital world.