Data Architect
4 weeks ago
Seeking an experienced Data Architect to lead the development of our insurance data strategy and architecture. The ideal candidate will have extensive years of experience in relevant data architecture roles and possess broad and deep expertise in insurance data strategy and architecture.
Key responsibilities will include:
- Understanding user requirements and existing environments, and translating these into an architecture roadmap.
- Guiding the full lifecycle of a solution, including understanding business capabilities, translating to technical capabilities, and solution architecture.
- Assisting in defining and declaring non-functional requirements for building out solution capabilities.
- Documenting solution interactions and relationships, along with basic infrastructure and application onboarding requirements.
- Ensuring security by design to meet Information Security policies, Legal, Compliance, Risk, and Regulatory requirements, and industry best practice.
- Participating in the definition of adoption and experience metrics for the solution to measure the success of the solution.
- Presenting architecture decisions, explaining the end-to-end solution, educating others how they can contribute, and providing guidance on tool usage.
- Acting as a strategic advisor to management.
- Contributing to the development of the Strategic Architecture.
The ideal candidate will have hands-on experience with architecture and design, including Azure cloud platform environment, big data technologies, unstructured data management, container & orchestration platforms, relational databases and structured query languages, microservices, integration and ETL/ELT technologies, data management and analytics, reference & master data management, access control and security, and effective management and leadership skills with the ability to influence department's strategy.
Additionally, the candidate should have excellent presentation, communication (oral & written), and relationship building skills, across all levels of management, and excellent problem solving and analysis skills. Knowledge and active use of Agile, SCRUM and Continuous Delivery is also required.
Experience with machine learning, AI, LLM knowledge, especially on how to apply the concepts and capabilities, message queues, streaming technologies, and event driven architecture is a plus.
We are looking for a team player who can work collaboratively with cross-functional teams to deliver high-quality solutions.
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