MODE Global is the 5th largest truckload broker and largest non-asset intermodal provider in North America. With over 200 agents/offices distributed from coast to coast, MODE Global operates under a family of businesses and brands, delivering as a premier full-service solutions provider to the logistics industry.
Data Architect
The Data Architect, will be instrumental in designing, implementing, and managing our data infrastructure, data pipelines on Microsoft Azure and Databricks, define standards & best practices, work closely with Finance, Product Lines, Back Office, IBOs and Operations teams to ensure our data architecture and solutions are robust, scalable, and aligned with business needs.
Essential Job Functions:
• Data Architecture Design: Design and implement efficient data pipelines and architectures using Azure Data Factory, Azure Data Lake, Databricks, and other Azure services.
• Data Integration: Develop, monitor, and maintain data pipelines to integrate data from multiple sources using Azure Data Factory, Databricks ensuring seamless data flow, maintain data quality and data integrity.
• Design and lead the adoption of Azure and Databricks standards & best practices.
• Data Model Design & Architecture: Design, implement, and maintain data architecture, data models, data catalog and data dictionary, ensuring data accuracy, consistency, and integrity across the data warehouse and other systems.
• Monitor, enhance and automate housekeeping with Azure, Databricks Monitor, Log Analytics, Application Insights and enhance system health and performance. Optimize data storage, retrieval, and cost efficiency within Azure.
• Collaboration & Support: Partner with IT and business teams to translate business needs into efficient, scalable data architectures and solutions. Provide technical support during the deployment and maintenance of data applications and Integrations.
• Work closely with business stakeholders to understand data needs, and provide value added data infrastructure and data product solutions.
• Maintain thorough documentation of data sources, data models, data pipeline and data artifacts to drive consistency and data integrity across systems. Work with IT leaders to enhance data governance and data quality framework and drive adoption.
• Stay current with the latest data and analytics technologies, recommending enhancements and new tools to drive innovation.
• Design and implement backup strategies using Azure Backup and Recovery Services. Develop and test disaster recovery plans to ensure business continuity.