Data Architect

The Data Architect is a vocal futurist that can advocate their vision and be excited about creative problem-solving as part of a cross-functional team. The Data Architect will obsess over Markel having smart, simple clean data connections and will tirelessly strive for the best end-user experience, with the drive and desire to keep learning the latest development techniques.

• The data architect is a senior member of the organization, providing critical thought leadership and a steady hand.
• Provide architectural runway against business feature priorities for the upcoming PI, through well thought out solution patterns.
• Act as a trusted specialist for Agile full-stack development teams working to deliver business features in the current PI, including technical troubleshooting.
• Strategic direction setting by building and maintaining the domain target state, along with a roadmap to attain it, within the context of the broader organization.
• Work closely with a team of peers to help elevate the department.
• Perform technology evaluations in support of the development teams, with appropriate recommendations and reasoning.
• Ability to review options in a problem space, including pros and cons of all considered options, and produce a summary assessment, including a recommendation.

• A passion for all things data
• Full lifecycle Data Architecture experience.
• Strong insurance domain expertise, with London and international markets a plus.
• Background working with insurance data generated by Guidewire would be extremely helpful.
• Ideally have experience in Azure, or secondarily a different cloud environment (e.g. AWS). An Azure Solutions Architect certification would also be useful.
• Experience with both structured and non-structured data, and both relational and non-relational solutions.
• Experience using vendor and open source options.
• A solid grasp of the NFRs for the various implementations and options.
• An understanding of API design, including RESTful Excellent interpersonal skills, including written and verbal communication skills, to allow for effective collaboration with colleagues and business partners.
• Ability to both explain concepts at a high-level, but also be hands on when working at a low level, utilizing a strong attention to detail.
• Know when to make independent decisions and when to circle back with appropriate questions.
• Work within a new domain by identifying gaps in knowledge and actively seeking the answers