Objective of job：
-Build up Daimler Data Platform Strategy and Technology framework.
-Build up the Daimler Data Platform based on cloud native architecture
-Build up the agile infrastructure based on Azure/AWS/Alibaba
-Lead emerging technology development to support business as MVP.
-Lead devops practice toward fully automation and self-service.
-Operate the data platform with high availability and scalability
Task description：
- Security Service:
• Managing the Azure AD and Azure Domain Services infrastructure for user/privilege provisioning.
• Managing the data injection based on Azure Data Factory .
• Monitor the Data platform infrastructure and mitigate the identified risk.
- Public Cloud:
• Manage the data platform based on Azure technical stack
• Manage the data pipeline and jobs based on Azure Data Factory
• Manage the scaled infrastructure based on Azure ARM
• Continuously optimize the capacity and architecture of HDInsight Clusters
• Cloud project Demand, Architecture design, build, operation.
• DevOps model to run cloud projects, agile is the core.
• Manage public cloud providers(i.e. Azure China) and Cloud Opearation Partners for day-to-day cloud operations based on defined SLA
- Application Continuous Delivery:
• Implement software engineering and agile infrastructure service in Daimler.
• Lead ITT Data technical principles, and mature it by daily operation, get well alignment with all stakeholders.
• Public cloud and Cloud native solution build up, and best fit to Daimler infrastructure.
• Adopt the culture of DevOps and Implement Continuous delivery practice.