Description:

Lead the design, development, and optimization of real-time data infrastructure for timely insights and actions.
Provide strategic guidance and mentorship to a team of real-time data engineers, fostering a culture of excellence and collaboration.
Architect robust real-time data streaming pipelines using technologies like Apache Kafka, Apache Flink, or Apache Spark Streaming.
Design event-driven systems for real-time processing of data events and triggers, supporting use cases like real-time monitoring and anomaly detection.
Integrate real-time data streams from diverse sources into the infrastructure while ensuring data consistency and quality.
Develop real-time analytics systems and dashboards for timely decision-making.
Implement data governance policies to ensure data quality, security, and compliance in real-time environments.
Optimize data pipelines and processing workflows for performance and scalability.
Establish monitoring and alerting solutions to track the health of real-time data infrastructure.
Define best practices for real-time data engineering and promote collaboration among team members.
Collaborate with cross-functional teams to deliver real-time data solutions that meet business needs.
Mentor and coach junior engineers, fostering a culture of continuous learning and improvement.

Requirements:

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
8+ years of experience in data engineering, focusing on real-time data technologies.
Proven leadership experience in leading real-time data engineering teams and delivering complex projects.
Expertise in real-time data streaming technologies like Apache Kafka, Apache Flink, or Apache Spark Streaming.
Strong programming skills in Python, Java, or Scala, with experience in distributed computing frameworks.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Understanding of event-driven architecture and stream processing concepts.
Strong problem-solving skills and analytical thinking.
Excellent communication and collaboration skills.

Competitive salary ranging from $200,000 to $300,000 per year.
Comprehensive benefits package including health insurance, retirement plans, and wellness programs.
Flexible work arrangements with remote work options and flexible hours.
Generous vacation and paid time off.
Professional development opportunities with access to training programs and conferences.
State-of-the-art technology environment with cutting-edge tools.
Vibrant and inclusive company culture with growth opportunities.
Exciting projects at the forefront of data-driven innovation.