Data Architect
Job Summary
Job Description
Responsibilities:
Define and manage data architecture strategy including scalable data models and target-state designs aligned with business goals
Establish standards for ETL data governance and data quality across the data platform
Design and oversee modern data platforms including pipelines CI/CD processes and containerized deployments
Act as a bridge between data and infrastructure teams by translating data requirements into technical specifications and reviewing IaC deliverables
Define observability reliability and recovery standardsfor data systems.
Conduct technical reviews support incident resolution and drive continuous platform improvements.
Promote DataOps practices evaluate new technologies and mentor data engineering teams.
Requirements:
Degree in Computer Science IT or related disciplines.
7 years of experience across data engineering and cloud/data architecture with prior technical leadership exposure.
Strong expertise in Azure data services (e.g. Databricks Data Factory Synapse Data Lake).
Solid knowledge of data architecture concepts (e.g. data modeling Lakehouse Medallion architecture).
Familiarity with Infrastructure-as-Code (e.g. Terraform Ansible) and ability to review code.
Understanding of CI/CD containerization (Docker/Kubernetes) and version control practices.
Strong communication skills with the ability to bridge technical and business teams.
Strategic mindset leadership capability and experience working in collaborative multicultural environments.
Required Experience:
Staff IC
About Company
Get the HR and recruitment services you need to attract top talent and career opportunities in China, Hong Kong, Macau, and Singapore with your one-stop HR Partner, KOS International.