- Location
- HK
- Type
- Full-time
- Department
- Operations
- Experience
- 7+ years
- Closing date
- Today
- Source
- Vincere
Description
Responsibilities:
-
Define and manage data architecture strategy, including scalable data models and target-state designs aligned with business goals
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Establish standards for ETL, data governance, and data quality across the data platform
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Design and oversee modern data platforms, including pipelines, CI/CD processes, and containerized deployments
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Act as a bridge between data and infrastructure teams by translating data requirements into technical specifications and reviewing IaC deliverables
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Define observability, reliability, and recovery standards for data systems.
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Conduct technical reviews, support incident resolution, and drive continuous platform improvements.
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Promote DataOps practices, evaluate new technologies, and mentor data engineering teams.
Requirements:
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Degree in Computer Science, IT, or related disciplines.
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7+ years of experience across data engineering and cloud/data architecture, with prior technical leadership exposure.
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Strong expertise in Azure data services (e.g., Databricks, Data Factory, Synapse, Data Lake).
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Solid knowledge of data architecture concepts (e.g., data modeling, Lakehouse, Medallion architecture).
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Familiarity with Infrastructure-as-Code (e.g., Terraform, Ansible) and ability to review code.
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Understanding of CI/CD, containerization (Docker/Kubernetes), and version control practices.
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Strong communication skills with the ability to bridge technical and business teams.
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Strategic mindset, leadership capability, and experience working in collaborative, multicultural environments.
