Arcade Beauty
Enterprise Data Architect
Arcade Beauty, South Plainfield, New Jersey, us, 07080
Strategy & Planning
Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders.Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.Ensure that data strategies and architectures are in regulatory compliance.Liaise with vendors and service providers to select the products or services that best meet company goals.Operational Management
Assess and determine governance, stewardship, and frameworks for managing data across the organization.Develop and promote data management methodologies and standards.Select and implement the appropriate tools, software, applications, and systems to support data technology goals.Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.Collaborate with project managers and business unit leaders for all projects involving enterprise data.Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration.Testing and validation of business requests and user stories.Design, build and maintain BI platforms– for interactive charts and dashboardsProject management responsibilitiesAct as a leader and advocate of data management, including coaching, training, and career development to staff.Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture.Document the data architecture and environment to maintain a current and accurate view of the larger data picture.Identify and develop opportunities for data reuse, migration, or retirement.Communication with business.
Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders.Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.Ensure that data strategies and architectures are in regulatory compliance.Liaise with vendors and service providers to select the products or services that best meet company goals.Operational Management
Assess and determine governance, stewardship, and frameworks for managing data across the organization.Develop and promote data management methodologies and standards.Select and implement the appropriate tools, software, applications, and systems to support data technology goals.Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.Collaborate with project managers and business unit leaders for all projects involving enterprise data.Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration.Testing and validation of business requests and user stories.Design, build and maintain BI platforms– for interactive charts and dashboardsProject management responsibilitiesAct as a leader and advocate of data management, including coaching, training, and career development to staff.Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture.Document the data architecture and environment to maintain a current and accurate view of the larger data picture.Identify and develop opportunities for data reuse, migration, or retirement.Communication with business.