Data Architect - Addison, United States - Reece USA

Description

The Data Architect we are hiring will provide technical leadership and guidance throughout the lifecycle of data and data systems. The Data Architect works closely with various internal departments and teams to drive effectiveness through a total data solution mindset and process-orientated team. Participate in strategy planning and solution negotiations. Architect, and deliver, forward-thinking and innovative data solutions. The focus will be future data solutions and integrations for enterprise platforms. This role will have a transformational responsibility in building Data Solutions supporting Predictive Analysis, Business Intelligence, and Data Access layers with API integration. Establishing mature practices and methodologies with a transformational mindset ensuring current and future requirements are met. Must have strong communication skills to interact with business counterparts.

RESPONSIBILITIES:

• Define and incorporate compliance for data solutions through new or existing standards and procedures, ensuring Data in Motion and Data at Rest is secure and compliant.
• Architect end-to-end data solutions including data collection and storage, data modelling, and data consumption.
• Efficiently find solutions to meet technical and nontechnical requirements of internal and external business units.
• Partner with Application Architects to design data-intensive applications with APIs and streaming data pipelines.
• Design solutions to prepare and transform data into a usable state for multi-platform consumption.
• Design detailed database schema fields with cross-table links.
• Design conceptual and logical data models and flowcharts including source-to-target mappings, transforms, and data lineage.
• Create and own Data Solution Architecture Models and Documentation (key written project deliverable) and/or oversee and approve the creation of architecture documentation.
• Collaborate with the broader architecture community to provide input into technical and nontechnical strategies and standards.
• Maintain clarity of data solution current, and future requirements. ensuring roadmap items such as API exposure, IoT Integration, Machine Learning, or Data Science are not hindered.
• Manage clear and realistic expectations of what technology can offer in terms of products, services, and delivery mechanisms.
• Maintain and protect security, privacy, and confidentiality of data in all data solutions.

REQUIREMENTS:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, or related field and 5-7 years relevant experience. 10 years of equivalent experience can be used to offset the educational requirement.
• Hands-on experience with cloud-based relational and non-relational database solutions.
• Expertise in near-time, real-time, time series message-based data movement and storage.
• Deep understanding of data enrichment, transformation, security, movement, data architecture, golden record, and data integrity.
• Demonstrated experience and expertise using Data Lakes, Data Warehouses, and Data Flows and pipelines.
• Experience establishing data structure and engineering patterns, practices, reference architectures, and governance