This role is for one of the Weekday's clients
Min Experience: 8 years
Location: United States
JobType: full-time
We are seeking an experienced and dynamic Flink Leader to drive the design, development, and delivery of large-scale real-time data processing solutions. The ideal candidate will have deep expertise in Apache Flink, strong Java programming skills, and proven leadership experience managing high-performing engineering teams. This role requires a strategic thinker who can lead complex streaming data initiatives while collaborating closely with cross-functional stakeholders to deliver scalable, reliable, and high-performance solutions.
As a Flink Leader, you will play a critical role in architecting next-generation streaming platforms and enabling real-time analytics capabilities for enterprise-scale applications. You will mentor engineers, define technical roadmaps, establish best practices, and ensure the successful execution of data engineering projects.
Requirements
Key Responsibilities
- Lead the architecture, development, and optimization of real-time streaming applications using Apache Flink.
- Design scalable and fault-tolerant distributed systems capable of handling high-volume data streams.
- Manage and mentor engineering teams, ensuring technical excellence, collaboration, and continuous learning.
- Drive end-to-end project delivery including requirement analysis, solution design, development, deployment, and production support.
- Collaborate with product managers, architects, DevOps teams, and business stakeholders to define technical solutions aligned with organizational goals.
- Develop robust applications and services using Java and modern backend engineering practices.
- Implement data processing pipelines, stream analytics, event-driven architectures, and real-time monitoring solutions.
- Ensure system reliability, scalability, performance tuning, and operational efficiency across distributed environments.
- Establish coding standards, review code quality, and promote engineering best practices.
- Lead troubleshooting and root-cause analysis for production issues in streaming and distributed systems.
- Contribute to technology strategy, innovation initiatives, and continuous platform improvements.
- Support hiring, team building, and capability development for streaming data engineering teams.
Required Skills
- Strong hands-on expertise in Apache Flink and stream processing architectures.
- Excellent programming experience in Java with strong understanding of multithreading, concurrency, and distributed systems.
- Proven experience leading engineering teams and managing large-scale technical programs.
- Strong knowledge of real-time data processing, event streaming, and microservices architecture.
- Experience with distributed messaging systems such as Kafka.
- Understanding of big data ecosystems and cloud-native technologies.
- Expertise in performance optimization, scalability, and high-availability system design.
- Strong problem-solving, stakeholder management, and communication skills.
- Experience working in Agile and fast-paced engineering environments.
Good to Have Skills
- Experience with Spark, Hadoop, or other big data technologies.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with monitoring and observability tools.
Experience & Qualifications
- 8 to 18 years of overall IT experience with significant expertise in data engineering and streaming technologies.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Demonstrated experience leading enterprise-scale real-time data platform implementations.