Lead Data Engineer – Data Products, GWAM Asia
Core
Design and deliver trusted, reusable data products and end-to-end ETL/ELT pipelines for Global Wealth & Asset Management (GWAM) Asia's regional data platform.
Role type
Senior IC Lead Data Engineer (Data Products)
Builds
End-to-end batch and near-real-time ETL/ELT pipelines, curated data products, and semantic models on Azure/Databricks.
Domain
Financial Services / Data Engineering
Deliverable
production ML models
Required skills
Azure Databricks (PySpark, Delta Lake, Unity Catalog), Azure Data Factory, Azure Data Lake Storage, Advanced SQL, Python, Data Modeling (ERwin/PowerDesigner), CI/CD for Data, Streaming Technologies (Kafka/Event Hubs), Data Quality Frameworks
Preferred skills
Wealth/Asset Management Domain Knowledge, Metadata-driven Ingestion Frameworks, Data Privacy/Residency in Regulated Finance, AI/ML Data Preparation, Microsoft Fabric, Spoken Mandarin
Technologies
Azure, Databricks, PySpark, Delta Lake, Unity Catalog, Spark, Azure Data Factory, Azure Data Lake Storage, Azure SQL, Power BI, ERwin, PowerDesigner, Azure DevOps, GitHub, Jenkins, Kafka, Azure Event Hubs
Responsibilities
Design and build end-to-end ETL/ELT pipelines across raw, curated, and semantic layers; Establish robust pipeline engineering practices including orchestration, CDC loads, and performance tuning; Partner with stakeholders to define data products aligned with business outcomes; Translate requirements into logical and physical data models; Engineer analytics-ready data products for BI and APIs; Apply CI/CD and DevOps practices to data pipelines; Provide technical direction and mentor engineers across distributed teams; Ensure data products meet privacy, residency, and audit requirements.
Seniority
Senior, hands-on IC with leadership responsibilities