Ververica GmbH-posted about 4 hours ago
Full-time • Mid Level
New York, NY
51-100 employees

Ververica seeks an experienced Senior Solutions Architect to join our Customer Success team. In this highly technical role, you will design, implement, and optimize real-time data streaming solutions, with a focus 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, performance optimization, and customer enablement through tailored training and workshops.

  • Analyze customer requirements and design scalable, reliable, and efficient stream-processing solutions.
  • Provide technical implementation support and hands-on expertise in 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 demonstrate the feasibility and performance of the solution.
  • Offer architectural guidance, conduct in-depth technical reviews, and promote best practices in stream processing.
  • Design and deliver customized training programs and bespoke enablement content tailored to individual customer environments, use cases, and technical maturity levels.
  • Conduct hands-on workshops, technical deep-dives, and instructor-led training sessions for customer teams ranging from developers to architects.
  • 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.
  • 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 developing tailored technical curricula and customer-specific training materials.
  • Strong track record of conducting technical workshops, trainings, and hands-on enablement sessions directly with 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.
  • 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.
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