Data Delivery Lead – Cloud Data Platforms

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance.  We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture.  As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. 

All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.

How does this role contribute to our collective success?

The successful candidate will play a pivotal role in the delivery of advanced data products, working closely with engineering teams to ensure scalable, secure, and high-performance data products that support our data strategy. This is a high-impact role, ideal for a proactive and technically strong leader with deep experience in cloud engineering, performance optimisation, agile delivery, and managing distributed teams.


What will you do in this role?

We are looking for a highly skilled Data Delivery Lead to help guide and support the delivery of key data products across our Azure-based modern data platform. This role is ideal for a technically hands-on leader with deep cloud engineering expertise and a passion for performance optimization. Working closely with both onshore and offshore engineering teams, the successful candidate will provide technical direction, ensure best practices, and help drive high-quality solutions. A key focus will be on leveraging Databricks Unity Catalog, to drive data governance and efficiency across the platform.


Key Responsibilities:

• Collaborate with engineering teams to guide the delivery of scalable, high-performance data solutions on Azure Databricks and ADF.
• Provide hands-on technical leadership across the Azure data ecosystem, with a particular focus on Databricks and Unity Catalog ensuring best practices around governance, security, and data lineage.

• Advise and support offshore and onshore development teams on cloud architecture, coding standards, performance tuning, and operational excellence.
• Help teams adopt and implement agile engineering practices and continuous delivery pipelines that support DevOps, CI/CD and Databricks Asset Bundle best practices.
• Ensure technical quality, governance, and compliance standards are consistently met.
• Drive performance optimization across data pipelines, models, and storage.
• Support the broader platform strategy and architectural evolution by contributing technical insights and feedback from delivery teams.
• Establish, monitor and maintain robust data quality frameworks by implementing validation rules and automated checks.


You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.

About You:

We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

Required Skills & Experience:

• Proven track record of delivering large-scale data platforms using Azure Databricks.
• Extensive experience with Databricks, including Unity Catalog, Delta Lake, and performance optimization techniques.
• Demonstrable skills in data pipeline performance tuning, cost optimization, and cluster management in Databricks.
• Strong knowledge of data governance, access control, and metadata management.
• Experience working in regulated industries, particularly insurance or financial services, is highly desirable.
• Excellent leadership, communication, and stakeholder management skills.
• Agile delivery experience with a hands-on approach to problem solving and delivery leadership.
• Excellent communication skills with the ability to collaborate with cross-functional teams to understand requirements, data solutions, data models and mapping documents.


Preferred Qualifications:
• Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer Professional).
• Experience integrating Databricks with enterprise tools (e.g., Profisee, Azure Purview, Power BI).
• Familiarity with modern data architecture patterns, including data mesh and lakehouse.
• In-depth understanding of the Lloyds of London insurance market, including syndicate operations, reporting standards and regulatory requirements.


Role Factors:

The position is full-time with remote work options, requiring in-office presence three days per week.

What we offer:

You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.