DATA ARCHITECT – HEALTH CARE PAYER DOMAIN @ KEYPIXEL USA
We are seeking a highly skilled and experienced Data Architect with specific expertise in the Health Care Payer Domain to join our team in Philadelphia, PA. The ideal candidate will have over 15 years of professional experience in data architecture and a deep understanding of how to manage and structure data within the healthcare insurance sector. You will be responsible for designing, creating, deploying, and managing our organization's data architecture, ensuring that it is robust, scalable, and meets the specific needs of the payer domain.
In this hybrid role, you will leverage your expertise in various database technologies and cloud platforms such as Azure, GCP, and AWS to build modern data environments. Your work will involve collaborating with cross-functional teams to integrate disparate data sources, improve data quality, and support analytical initiatives. You must be adept at translating business requirements into technical specifications and have a proven track record of delivering high-quality data solutions in complex environments.
In this hybrid role, you will leverage your expertise in various database technologies and cloud platforms such as Azure, GCP, and AWS to build modern data environments. Your work will involve collaborating with cross-functional teams to integrate disparate data sources, improve data quality, and support analytical initiatives. You must be adept at translating business requirements into technical specifications and have a proven track record of delivering high-quality data solutions in complex environments.
Key Requirements
Minimum of 15 years of professional experience in Data Architecture.
Must have deep expertise specifically within the Health Care Payer Domain.
Advanced proficiency with cloud platforms including Azure, GCP, and AWS.
Strong background in both relational and non-relational database design.
Extensive experience in building and optimizing scalable data pipelines.
Mastery of various data modeling tools and architectural methodologies.
Comprehensive knowledge of healthcare data standards and security regulations.
Proven ability to lead and deliver large-scale data transformation projects.
Excellent stakeholder management and technical communication skills.
Ability to work effectively in a hybrid office environment in Philadelphia.