Data Architect

Description

- The Sr Data Architect will coordinate with business and technical teams to gather requirements, define standards, and implement a holistic data architecture for North American systems, while ensuring adherence to global business and technical requirements.

- This role is a long-term, multiyear contract employment opportunity with an exciting, technically progressive client based in the Torrance, California, and Marysville, Ohio area.

- You will work with industry leading professionals for a fast paced, globally recognized company to help drive forward critical business initiatives.

- This opportunity is HYBRID, onsite 2 3 days a week in either Marysville, OH, or Torrance, CA.

- Your responsibilities include: Influence projects/initiatives and drive decisions related to data including data quality, data architecture and data management best practices; Provide expert data modeling and data validation services that produce flexible, extensible data structure design solutions that support effective business decisions; Create and manage an array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation; Develop standards for database design and implementation of various strategic data architecture initiatives around master data management, data quality, data management policies/standards, data governance and metadata management; Serve as an advocate for the data architecture team and data management discipline, policies and standards across the enterprise; Assist in determining the effectiveness of existing technologies and processes in relation to the data architecture, create necessary implementation/migration plans, and recommend new solutions as required; Identify opportunities for sharing and utilizing data across boundaries, thus extracting maximum benefit from the data resource; Lead associates in data utilization; understanding and interpreting raw data and converting it into information; Support analysts in requirements development, research and verification.

Responsibilities

• Hands on experience a plus; Strong aptitude to learn business processes/products and the role of data within the business domain; Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM); Working knowledge of SDLCs (RUP, Waterfall, and Agile); 5-8 years of experience in data architecture principles, methods, techniques and technologies; Proven background of designing and implementing architectural solutions which solve strategic and tactical business needs; Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data; Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing; Strong familiarity with data management tools, including enterprise repository tools, data modeling tools, data quality tools, data mapping tools, and data profiling tools