Senior Data Architect, Team Innovation

American Global Logistics

Senior Data Architect responsible for designing and building scalable data infrastructure. Leading cloud data pipelines and integrating systems at American Global.

Posted 7/24/2026full-timeRemote • New York • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing cloud-based data pipelines and data warehouses, with a strong focus on compliance, data governance, and automation practices. Proficient in managing cloud resources and ensuring data quality and integrity across various platforms.

Highest-signal resume keywords

Cloud-Based Data Pipeline DevelopmentData Governance and DocumentationCI/CD ImplementationAzure Resource ManagementInsurance Brokerage Data Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline OptimizationETL FrameworksData Model DesignData Workflow AutomationData Quality MonitoringRow-Level Security ImplementationAPIs Performance OptimizationData Warehouse ManagementCloud-Native ToolingVersion Control

Tools & Technologies

AzureAWSPower BIApplied EpicData LakesData WarehousesCI/CD ToolsMonitoring ToolsBudget Alert ConfigurationSemantic Models

Industry Keywords

Insurance BrokerageConstruction Industry DataProject Management SystemsRisk and Surety DataCompliance Standards

Tech Stack

Tools & technologies

AWSAzureCloudETL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Fluency in insurance brokerage data environments
Prior experience with Applied Epic or comparable insurance management and/or claims systems preferred
Prior experience with construction industry data environments, project management systems, and/or risk and surety data preferred

Benefits

Comp & perks

Comprehensive Benefits Package
Collaborative and innovative environment
Culture of continuous learning and professional development
Competitive salary package
401k with above-average employer match of up to 5% of your salary
Leadership training and support
Work/Life Balance (Summer Fridays, flexible work arrangements and mental health services)
Education and Student Loan Assistance