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.
Qualifications
At least 7 years of relevant experience
Extensive experience in Data warehousing, Database design, Data modeling, and Data Integration
Strong experience in any Azure services like Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Data Lake, and others
Experience in either data security or data governance in Azure environment
