We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team.

Key Responsibilities:

Lead, mentor, and manage a team of 10 data engineers, ensuring high-quality deliverables and adherence to engineering best practices. Partner with stakeholders from multiple APAC regions to understand business priorities, gather requirements, and translate them into a well-defined product backlog. Prioritize and manage the backlog to align with strategic business objectives and technical feasibility. Oversee the design, development, and maintenance of scalable, high-performance data pipelines and data models. Ensure data quality, security, and governance standards are met across all projects. Facilitate effective communication between the data engineering team and cross-functional teams, including data scientists, analysts, and product managers. Monitor delivery timelines, proactively identify risks, and implement mitigation plans. Drive continuous improvement in processes, tools, and team capabilities.

Required Skills & Qualifications:

15+ years of experience in data engineering, with at least 3 years in a people management role. Proven track record in managing distributed teams and delivering complex data engineering projects. Strong experience with cloud-based data platforms (e.g., Azure, AWS, GCP) and modern data engineering tools. Solid understanding of data modeling (dimensional and relational), ETL/ELT design, and data warehouse architectures. Strong stakeholder management and communication skills, with experience engaging teams across multiple geographies. Ability to prioritize work, manage competing demands, and deliver results under tight timelines. Familiarity with Agile methodologies and backlog management tools (e.g., Jira, Azure DevOps).

Preferred Qualifications:

Experience with Azure Data Factory, Azure Synapse Analytics, Databricks, and ADLS Gen2. Knowledge of data governance tools and frameworks. Exposure to APAC market dynamics and cross-cultural collaboration.