Real-Time Data Streaming Solutions Expert

3 days ago

Sydney, New South Wales, Australia beBeeData Full time $140,000 - $150,000
Key Technical Role

This is a highly technical position for an experienced Solutions Architect to join our APAC Customer Success team. As a Senior Solutions Architect, you will design, implement, and optimize real-time data streaming solutions, focusing specifically on Apache Flink and stream processing.

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.

About the Position
  • Analyze customer requirements and design scalable, reliable, and efficient stream-processing solutions
  • Provide technical implementation support and hands-on expertise deploying Apache Flink and stream platforms 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 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
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