Lead Data Support Engineer - Toa Payoh
As a Lead Data Support Engineer, you will provide technical leadership, incident management expertise, and strategic oversight in ensuring the reliability, security, and scalability of mission-critical data platforms. You will work on high-impact projects, drive continuous service improvement, and align DAMO™ Managed Services with business objectives.
You will be responsible for defining and implementing best practices, influencing key stakeholders, and guiding the team in solving complex, high-priority technical challenges.
Job responsibilities- Work closely with cross-functional teams, including client systems and data engineers, to diagnose and resolve incidents impacting data operations, ensuring minimal business disruption.
- Monitor, troubleshoot, and optimize data pipelines to ensure reliable and timely data delivery, addressing any issues encountered in production environments.
- Use incident management tools, data monitoring metrics, and reports to detect issues and take corrective actions.
- Enforce and monitor data quality metrics to maintain consistency, accuracy, and completeness across systems.
- Leverage logging techniques for alerting, monitoring, and identifying root causes in data platforms and pipelines.
- Optimize and modify data pipelines for scalability and performance improvements.
- Support deployment of new features, bug fixes, and enhancements, ensuring smooth production integration and minimal risk.
- Maintain documentation (troubleshooting guides, workflows, best practices) and mentor junior peers through technical and leadership guidance.
- Follow standards and best practices to enhance operational efficiency, system stability, and availability.
- Apply continuous delivery practices to support and deliver high-quality data solutions and customer value early and often.
Job qualifications
Technical Skills- Experience with data projects, including data frameworks, ETL processes, and data visualization.
- Skilled in working with data models and pipelines to support smooth and efficient operations.
- Proficient in MSSQL databases and AWS cloud-native services.
- Strong hands-on experience with Python and Shell scripting.
- Possess strong debugging and triaging skills to troubleshoot data issues effectively.
- Experience building and supporting APIs within microservice architectures.
- Familiar with data processing frameworks such as Apache Spark and Hadoop.
- Practical experience with data science tools, including AWS SageMaker.
- Comfortable working in Agile environments, including Scrum and/or Kanban.
- (Desirable) Exposure to Java (Spring Boot), frontend frameworks like Angular/React, and knowledge of architectural styles such as monolithic, layered, microservices, and serverless.
- Strong communicator with the ability to articulate ideas clearly and influence others toward technical excellence.
- Open-minded and adaptable to change while promoting best practices.
- Resilient and able to navigate ambiguity by approaching challenges from different angles.
- Experienced in mentoring and guiding junior consultants.
- Willing to participate in a rotation-based, 24/7 support schedule as needed.
Other things to know
Learning & Development
At DAMO, career growth is self-driven but supported by interactive tools, development programs, and a strong cultivation culture. Employees are encouraged to continuously enhance their skills and expertise.
About DAMO
DAMO is a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. We foster an environment where diverse backgrounds, experiences, and perspectives come together to challenge the status quo.
Join DAMO and be part of a team that thrives on curiosity, innovation, and passion.