Description
You will lead the architecture, design, and deployment of enterprise data solutions, ensuring technical quality and data integrity across the organization.
This role is hybrid.
Responsibilities
- Lead enterprise architecture and solution design, defining standards for data synchronization and management.
- Define and implement data management strategies, including validation rules, audits, and mass data-cleansing initiatives.
- Analyze root causes of data quality issues (uniqueness, integrity, accuracy) and implement remediation plans.
- Drive data warehouse modeling, integration, and solution design discussions.
- Ensure all projects adhere to SDLC methods and deliver high-quality data outputs.
Required Skills
- 7+ years of experience in data warehousing, business intelligence, and client-server systems.
- 3+ years of hands-on RDBMS experience, covering data types, change control, and performance optimization.
- Strong proficiency in SQL and data warehouse technologies (Snowflake).
- Experience with Qlik and understanding of Health Catalyst methodologies.
- Deep understanding of application development, servers, networks, and database architecture.
- Proven ability to map processes, conduct root-cause analysis, and manage multiple projects under strict timelines.
- Bachelor's degree in Computer Science, Business Administration, Healthcare Administration, or a related technology field.
Preferred Skills
- Experience with Epic EHR systems.
- Familiarity with health plan data processing techniques and practices.