Data Architect

Overview

Data Architects define standards and design the flow of data throughout both the enterprise and the external ecosystem (customers, channels, etc.). They work closely with users, systems designers, and developers on a delivery team. They have an end-to-end vision, to see how a logical design will translate into one or more databases, and recognize how data will flow through the successive stages involved.

Data Architects address issues of data migration (including validation, clean-up, and mapping), and understand the importance of data dictionaries.

The Data Architect is responsible to define standards and design the flow of data throughout both the enterprise and the integration to external ecosystems (customers, channels, etc.). In this role you are required to lead development and maintenance of data architecture and work with a team of Data Architects to improve the maturity of curated data, data pipelines, data quality, and data governance.

A Data Architect is a knowledgeable leader with an ability to lead and is passionate about coaching and using data to solve business problems. The right individual will have a vision for the overall data landscape with the ability to develop a technically viable global data architecture.

• Drives the conceptual and logical data architecture strategy in collaboration with enterprise architecture.
• Defines and implements data migration strategies and solutions.
• Advises teams on translating business needs into long-term data architecture solutions.
• Partners with feature and architectural foundation development teams to translate data architectures into physical models and implementations.
• Builds, optimizes, and maintains logical (curated) data models.
• Works with Data Engineering and Data Platform teams to conduct ongoing performance optimizations in the data model.
• Assists in defining data integration, storage, replication, and transformation protocols for the data layer of technical solutions supported by enterprise architecture.
• Creates data quality rules and validations to monitor critical business metrics/KPIs.
• Develops a thorough knowledge and understanding of cross system data flows as well as an enterprise view of the data landscape.
• Maintains detailed documentation (i.e. data flow diagrams, source to target mappings, etc.).

• Experience in implementing packaged or custom ERP/MRP solutions in the Retail industry, focusing on data architecture and migration.
• 8+ years’ experience in data architecture design, implementation, and maintenance of complex datasets.
• Experience working with data modeling tools (Erwin preferred).
• Experience architecting and delivering data engineering/integration pipelines.
• Experience designing and developing performance-optimized data models.
• Proficient in SQL.

• Exposure to the retail industry.
• Understanding of CI/CD pipelines, Azure Dev Ops, and Git Hub Actions.
• Experience with Git for code storage and collaboration.
• Architectural level experience in information privacy, data compliance, and risk management.
• Excellent verbal and written communication skills.
• Proficient in Google Workspace applications, including Sheets, Docs, Slides, and Gmail.