Moody’s Corporation is seeking a Data Engineer to lead the modernization of our entire data platform. You will be responsible for designing and building advanced data streaming solutions to enhance reliability, speed, and scale.

What You'll Do

Lead the design and build of advanced data streaming solutions, modernizing Moody’s entire data platform to enhance reliability, speed, and scale.
Lead the design, development, and deployment of robust and scalable data streaming pipelines using technologies including Kafka, MongoDB, PostgreSQL, and Databricks.
Drive a DataOps mindset by implementing CI/CD practices for data workflows, ensuring robust data observability, real-time monitoring, and effective incident response.
Lead transformation projects to sunset legacy systems and migrate to modern data platforms, developing strategies that minimize business disruption.
Build, mentor, and manage a high-performing, diverse team of data engineers, fostering a culture of technical excellence and continuous improvement.
Champion data management, data quality, and data governance initiatives across the organization, ensuring data is accurate, consistent, and compliant.
Collaborate with cross-functional teams including Data Science, Product, and IT to ensure data engineering solutions align with business objectives.
Oversee the evaluation and adoption of new data technologies and cloud-native solutions to continuously enhance Moody’s data infrastructure.

What We're Looking For

5+ years of leadership experience building, mentoring, and managing high-performing data engineering teams in a fast-paced environment.
Demonstrated hands-on leadership in designing, building, and managing scalable, real-time data streaming pipelines using technologies like Kafka, MongoDB, and Databricks.
Proven experience with leading cloud platforms (AWS, Azure), leveraging their services to build and manage modern data architectures.
Strong expertise in data management frameworks, data quality, data governance, and implementing CI/CD practices (DataOps) for data workflows.
Strategic ability to lead complex migration projects, manage concurrent initiatives, and align technical strategy with broader business objectives.
Excellent communication skills with the ability to collaborate effectively across teams and present complex technical concepts to executive leadership.
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
Over 10 years of experience in data engineering, including a minimum of 5 years in a leadership or managerial capacity.