Senior Data Architect

About the role

In this role, we are seeking an experienced, hands-on, and innovative Data Architect with expertise in the Azure Cloud platform to design, implement, and optimize scalable data solutions. The ideal candidate will have deep expertise in data architecture, cloud solutions, and experience with healthcare and benefits data systems. They will work closely with a cross functional team of Data, DevOps, and Analytics engineers to architect a robust data platform for H&B, ensure efficient data management, and support enterprise-level decision making process.

The Role -

• Partner with other architecture resources to lead the end-to-end architecture of the health and benefits data platform using Azure services, ensuring scalability, flexibility, and reliability.
• Develop broad understanding of the data lake architecture, including the impact of changes on a whole system, the onboarding of clients and the security implications of the solution.
• Design a new or improve upon existing architecture including data ingestion, storage, transformation and consumption layers.
• Define data models, schemas, and database structures optimized for H&B use cases including claims, census, placement, broking and finance sources.
• Designing solutions for seamless integration of diverse health and benefits data sources.
• Implement data governance and security best practices in compliance with industry standards and regulations using Microsoft Purview.
• Evaluate data lake architecture to understand how technical decisions may impact business outcomes and suggest new solutions/technologies that better align to the Health and Benefits Data strategy.
• Draw on internal and external practices to establish data lake architecture best practices and standards within the team and ensure that they are shared and understood.
• Continuously develop technical knowledge and be recognised as a key resource across the global team.
• Collaborate with other specialists and/or technical experts to ensure H&B Data Platform is delivering to the highest possible standards and that solutions support stakeholder needs and business requirements.
• Initiate practices that will increase code quality, performance and security.
• Develop recommendations for continuous improvements initiatives, applying deep subject matter knowledge to provide guidance at all levels on the potential implications of changes.
• Build the teams technical expertise/capabilities/skills through the delivery of regular feedback, knowledge sharing, and coaching.
• Analyze existing data design and suggest improvements that promote performance, stability and interoperability.
• Work with product management and business subject matter experts to translate business requirements into good data lake design.
• Maintain the governance model on the data lake architecture through training, design reviews, code reviews, and progress reviews.
• Participate in the development of Data lake Architecture and Roadmaps in support of business strategies