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Senior Manager, Data Platform Engineering

Kuala Lumpur💼 Full-time🗓 2026-07-28 → 2026-09-26

Core

Senior leader responsible for end-to-end delivery of the Data Lake platform, Enterprise Data Model, data ingestion, and curated data services powering data & analytics, AI, regulatory, and business reporting.

Role type

Senior Manager, Data Platform Engineering

Builds

Enterprise-scale data lake/lakehouse, ingestion pipelines, and curated data services for insurance business units.

Domain

Insurance / Financial Services / Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Azure Data Stack (Databricks, ADF, Cosmos DB), Python, Scala, SQL, Data Architecture, Dimensional Modeling, Data Governance, Team Leadership, Vendor Management

Preferred skills

Collibra, Informatica, MLOps, Feature Stores, Salesforce Data Cloud, Kafka, Event Hub, GraphQL, MongoDB

Technologies

Azure Databricks, Azure Data Factory, Azure Data Lake, Unity Catalog, Cosmos DB, Power BI, Python, Scala, SQL, Spark, Delta Lake, Collibra, Informatica, Kafka, Event Hub, GraphQL, MongoDB

Responsibilities

Lead and develop a multi-disciplinary team of data engineers and contingent specialists; Own the roadmap, design, build, and operations of the Data Lake platform; Partner with Data Governance to operationalize standards and ensure data quality; Serve as Business Continuity Coordinator for Data Management; Lead RFP/RFI evaluations and manage delivery partners; Ensure documentation and security guidelines for confidential/PII data.

Seniority

Senior, hands-on IC with people leadership

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