Design and maintain the enterprise data architecture vision, blueprint, and roadmap.
Design scalable, secure, and performant data models, data flows, and integration patterns across source systems, data platforms, and consumption layers.
Establish architectural standards, frameworks, and best practices for data storage, integration, and consumption across AWS and Azure cloud environments.
Own the design and evolution of Catalight's Snowflake data warehouse architecture.
Evaluate and recommend emerging data technologies, tools, and platforms to continuously modernize Catalight's data ecosystem.
Partner closely with the Data Governance Manager to design and enforce enterprise data governance frameworks, policies, and standards.
Ensure data architecture design supports HIPAA compliance and other applicable healthcare data privacy and security requirements.
Champion a culture of responsible data stewardship across the organization.
Collaborate with data science and analytics stakeholders to ensure high-quality data for AI/ML use cases.
Communicate architectural vision, decisions, and trade-offs clearly to both technical and non-technical audiences.

Bachelor's degree in Computer Science, Information Systems, Data Architecture, or a related field preferred; or 8+ years of experience in data architecture, data engineering, or a related discipline in lieu of a degree.
Demonstrated expertise in enterprise data architecture, including data modeling, data integration design, and data governance frameworks.
Proficiency in SQL and experience with advanced data modeling techniques.
Hands-on experience designing and governing Snowflake data warehouse architecture.
Proficiency with AWS/Azure cloud services.
Proven ability to design data systems that support business intelligence and reporting platforms, including Tableau.
Experience working in or designing data systems for healthcare or other regulated data environments, with knowledge of HIPAA and data privacy requirements.
Demonstrated ability to communicate complex architectural concepts clearly to both technical and non-technical stakeholders.
Experience designing data architecture to support AI/ML applications, including feature stores, ML pipelines, and model operationalization.

Senior Data Architect

Key skills