Real-Time Data Processing Expert Wanted
We are seeking an experienced professional to join our team as a Senior Solutions Architect. This highly technical role involves designing, implementing, and optimizing real-time data streaming solutions using Apache Flink and Ververica's Streaming Data Platform.
Key Responsibilities:
* Analyze customer requirements and design scalable, reliable, efficient stream-processing solutions.
* Provide technical implementation support deploying Apache Flink and Ververica's platform in pre-sales and post-sales engagements.
* Develop prototypes and proof-of-concept implementations to validate solution feasibility and performance.
* Offer architectural guidance and promote best practices in stream processing.
* Deliver professional services engagements including technical training sessions, workshops, and performance optimization consulting.
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, software architecture, including a minimum of 2 years specializing in Apache Flink.
* Strong proficiency in Java; additional experience with Python and SQL 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.
Preferred 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.
This is an exciting opportunity for someone passionate about real-time data processing to work alongside customers, driving impactful consulting engagements and shaping the future of this field.
The ideal candidate will have a deep understanding of distributed systems, event-driven architectures, and cloud-native technologies, with strong problem-solving skills and excellent communication abilities.