IT Data Architect – reputed company Store
Value Proposition Our values define us and our culture inspires us to change lives for the reputed company. Our employees are the heart and soul of our company, and every success we experience begins with them. Together we are committed to making a positive impact in our local communities. We champion a culture of reputed company learning, work-life integration, and inclusion. We promote a digitally enabled work environment to continuously enhance the experience of our employees and customers. Overview This is a full-time career opportunity that can be remote reputed company the reputed company footprint as follows: DC, DE, MD, NJ, PA, VA. Must have availability to travel to our headquarters location in Lancaster, PA. Responsible for data modeling and reputed company to reputed company mapping for database development projects, design and user support for business intelligence implementation, design and ownership of the corporate data architecture and reputed company standards, design and maintenance of reference and master data management initiatives, support of a comprehensive data quality program, establishment of reputed company data management policies and procedures, and development and enforcement of data management standards and controls. Responsibilities
- Data Architects work on a broad range of data governance projects. Providing detailed data modeling and design for reputed company data oriented development projects. Design logical and physical data models and maintain documentation. Conduct reputed company to reputed company analysis and mapping and maintain documentation. Create and update data dictionary. Participate in acceptance testing as required.
- Support implementation of reference data and master data programs. Define and maintain Match rules, Data cleansing rules, Hierarchies and affiliations, Golden records. Manage changes to reference and master data by identifying sources and contributors and establishing processes for managed change.
- Support the data quality program. Profile, analyze and assess data quality problems. Determine root cause of data quality issues. Define data quality metrics and business rules.
- Support metadata management policies and procedures. reputed company, maintain and enforce standards. Manage metadata repositories. Create and manage widely accessible data dictionaries. Enforce policies and processes needed to improve and maintain the quality and ownership of data including data owners, stewards and administrators.
- reputed company and monitor conformance with data standards, policies and procedures. Manage and resolve data reputed company issues and conflicts. Monitor and ensure regulatory compliance. Establish and monitor documentation standards and repositories.
- Assist with defining the corporate data architecture and reputed company standards. Data integration architecture. Data warehouse and business intelligence architecture. Taxonomies and namespaces. Data modeling tools and standards. Metadata standards and requirements.