About the job
We are seeking a dynamic leader to head and expand the Data Engineering, DataOps, and Data Stewardship functions within our Data organization. This pivotal role is responsible for the flawless end-to-end delivery of our cloud-native data platform, encompassing data ingestion, transformation, modeling, and operational management, thereby facilitating reliable, high-quality, and self-service analytics across various business domains.
Key Responsibilities:
Team Leadership: Attract, mentor, and guide a diverse team of data engineers and stewards across Singapore, Malaysia, and India, fostering in-house technical expertise and accountability for project delivery.
Data Engineering Delivery: Supervise the design, development, and optimization of ELT/ETL pipelines and data models, ensuring workflows are scalable, reusable, and cost-effective.
Data Quality & Stewardship: Establish stewardship protocols — define ownership frameworks, implement data quality monitoring, and drive remediation processes in collaboration with cross-functional data users.
Operational Excellence: Oversee daily pipeline operations, ensuring SLA adherence and effective resolution of production issues through thorough root-cause analysis and a focus on continuous improvement.
Technical Governance: Establish engineering standards for observability, role-based access control (RBAC), cost tagging, and continuous integration/continuous deployment (CI/CD) practices.
Collaboration & Enablement: Foster self-service analytics by curating reliable datasets and modeled views in partnership with BI and business teams.

