About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
This position is part of the Data & Technology organisation. We are enabling our Clients to make data driven decisions at all stages of their value chain with the help of data and expertise.
About the Role
As a Cloud Architect, you will be responsible for designing and leading engineering of a capability, which enables Risk Consulting Analysts to perform their job function. This includes self-managed project environments for data analysis and data science use cases, which allows collaboration with appropriate data access controls, as well as integration with a Data Lake, Data catalog, a client facing portal, and a number of other systems used by our solutions to deliver services to its clients.
You will be working with the regional Risk Consulting Leads to understand requirements of their function, translating those requirements into implementation ready architecture, and orchestrating development of the technical capability.
This role will report to Analytics Lab Lead.
Responsibilities
Key responsibilities include:
- Work closely with Risk Consulting to understand their functional needs, and translate them into technical designs.
- Lead technical development of the Analytics Lab.
- Continuously collect feedback and monitor usage of the capability to adapt it to the needs of the users.
- Ensure alignment with data analytics standards and security requirements.
- Assess and pragmatically adopt latest technologies where they contribute to enhancing the service.
Requirements
You enjoy the challenge of working closely with data analysts, data scientists, and other data professionals, enabling them with tools and technology, while balancing diverse requirements with the need for standardisation and operational optimisation.
- Experience supporting data analytics and data science professionals with tailored solutions based on Azure data analytics services.
- Strong understanding and hands-on experience with Azure services, including data analytics and data science tools, e.g. PowerBI, Azure Machine Learning, Synapse Analytics, Databricks, and others.
- Strong experience in building and deploying Infrastructure-as-a-Service solutions on Azure.
- Experience providing architectural leadership to a team of software engineers.
- Experience with Scrum/Agile development methodologies.
- Experienced working in multicultural globally distributed teams.
Nice to Have Skills
- Self-starter with a positive attitude and a willingness to learn, who can manage their own workload.
- Strong analytical and problem-solving skills.
- Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments.