Description

Key Responsibilities

· Design and review end-to-end data architecture using Azure data platforms

· Provide recommendations on best practices, tools, and architectural patterns

· Ensure data solutions are scalable, secure, and aligned with business needs

· Collaborate with engineering and analytics teams to guide implementation

· Identify opportunities to optimize performance, data quality, and cost

Required Skills

· Strong experience with Azure data tools (e.g., Azure Data Factory, Fabric, Synapse, Databricks, ADLS)

· Proven ability to evaluate and recommend architecture solutions

· Solid understanding of data modeling, pipelines, and cloud architecture principles Preferred

· Experience in Healthcare (highly preferred), Oncology (nice to have).

Role Descriptions: 

Design and review end-to-end data architecture using Azure data platforms Provide recommendations on best practices| tools| and architectural patterns Ensure data solutions are scalable| secure| and aligned with business needs Collaborate with engineering and analytics teams to guide implementation Identify opportunities to optimize performance| data quality| and cost Essential Skills: Design and review end-to-end data architecture using Azure data platforms Provide recommendations on best practices| tools| and architectural patterns Ensure data solutions are scalable| secure| and aligned with business needs Collaborate with engineering and analytics teams to guide implementation Identify opportunities to optimize performance| data quality| and cost

Key Skills

Education

Bachelor's degree