Senior Solutions Architect

Ververica seeks an experienced Senior Solutions Architect to join our Customer Success team in North America. In this highly technical role, you will design, implement, and optimize real-time data streaming solutions, focusing specifically on Apache Flink and Ververica's Streaming Data Platform. You'll collaborate directly with customers and cross-functional teams, leveraging deep expertise in distributed systems, event-driven architectures, and cloud-native technologies to deliver high-impact solutions.

This role focuses on delivering professional services, including hands-on technical implementation, architecture consulting, and performance optimization.

• Analyze customer requirements and design scalable, reliable, and efficient stream-processing solutions.
• Provide technical implementation support and hands-on expertise deploying Apache Flink and Ververica's platform in pre-sales and post-sales engagements.
• Develop prototypes and proof-of-concept (PoC) implementations to validate and showcase solution feasibility and performance.
• Offer architectural guidance, conduct in-depth technical reviews, and promote best practices in stream processing.
• Deliver professional services engagements, including technical training sessions, workshops, and performance optimization consulting.
• Act as a subject matter expert on Apache Flink, real-time stream processing, and distributed architectures.
• Create and maintain high-quality technical documentation, reference architectures, best-practice guides, and whitepapers.
• Stay informed on emerging streaming technologies, cloud platforms, and data engineering methodologies.
• Work closely with Product and Engineering teams to share customer insights and influence platform improvements.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field.
• 7+ years of experience in professional services, consulting, or solutions architecture.
• At least 5 years of experience working with distributed systems, data engineering, or software architecture, including a minimum of 2 years specializing in Apache Flink.
• Strong proficiency in Java; additional experience with Python and SQL is beneficial.
• Practical experience with containerization and orchestration technologies (e.g., Kubernetes, Docker).
• Deep knowledge of cloud-native deployment architectures and experience with AWS, GCP, or Azure.
• Demonstrated expertise in performance tuning, monitoring, debugging, and optimizing distributed data processing pipelines.
• Proven experience conducting technical workshops, trainings, or delivering professional services directly to customers.
• Exceptional problem-solving and troubleshooting skills in complex technical environments.
• Strong communication and stakeholder management skills; comfortable conveying technical concepts to technical and non-technical audiences.
• Ability to travel when required

Preferred and beneficial qualifications:

• Experience with managed stream-processing services such as Amazon Managed Service for Apache Flink, Kafka Streams, Google Dataflow, Azure Stream Analytics, or Spark Structured Streaming.
• Familiarity with data serialization formats (e.g., Avro, Protobuf, Parquet).
• Hands-on experience with modern data infrastructures, including data warehouses, data lakes, data lakehouses, and NoSQL databases.
• Knowledge of security, compliance, and governance best practices within streaming data environments.
• Contributions to open-source projects or active involvement in relevant technical communities.

Benefits

This role is ideal for someone deeply passionate about real-time data processing, eager to tackle complex technical challenges directly alongside customers, and motivated by impactful, hands-on consulting engagements.

At Ververica, you will help shape the future of real-time data processing. Join us in a dynamic, collaborative environment where your leadership and expertise will drive our success and define the next era of innovation.

Qualification

Bachelor's Degree