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Open nowPosted 150 days ago

Flink Leader

Workable (global search)108,016 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowFlink LeaderWorkable (global search) · United States

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 150 days ago

Workable (global search) median: 7 days open

The posting

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.
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