American Global Logistics

Data Engineer

• Serve as AG's primary technical counterpart during vendor-led delivery engagements: review architecture decisions, validate implementation against AG requirements, and own knowledge transfer to ensure internal capability is built
• Build and optimize cloud-based data pipelines, data lakes, data warehouses, and ETL frameworks using cloud-native tooling across major platforms (Azure, AWS, or equivalent)
• Ensure system integrations are scalable, secure, and aligned with compliance standards
• Partner with Team Innovation and functional department leaders to establish data standards, governance, and documentation
• Implement version control, CI/CD, and data workflow automation practices
• Design, build, and automate data models, ingestion pipelines, and transformation workflows across source systems and Medallion layers
• Implement monitoring processes for data quality, validation, and integrity across all platforms
• Design and build external client portal data layer: implement Row-Level Security (RLS) in Power BI, manage client-scoped semantic models, and support embedded analytics delivery to external stakeholders
• Monitor and manage Azure cloud resource costs: right-size compute clusters, implement resource tagging, configure budget alerts, and report on consumption trends
• Troubleshoot and optimize performance across APIs, integrations, and data warehouse environments

Senior Data Architect, Team Innovation