Data Architect (Logistics & Data Warehousing)

Data Architect (Logistics & Data Warehousing) (Client: ???) [Location: Remote]

Responsibilities Architecture & Strategy: Design, build, and maintain high-performance, scalable data warehousing systems and data pipelines tailored for large-scale inventory and logistics reporting. API & Data Integration: Define API architecture and protocols for seamless data ingestion, extraction, and real-time/batch integration between data warehouses and core business applications (e.g., ERP, WMS, TMS). Inventory & Logistics Reporting: Partner with analytics and business intelligence teams to design data models that power operational dashboards, supply chain tracking, inventory optimization, and logistics metrics. Stakeholder Management: Collaborate with executive leadership, project managers, supply chain teams, and external vendor partners to align technical architectures with broader business goals and product roadmaps. Governance & Standards: Establish data governance policies, security protocols, data quality frameworks, and best practices across the organization’s data ecosystem. Optimization & Performance: Continuously monitor and tune database performance, optimize costs for cloud data platforms, and proactively troubleshoot data flow bottlenecks. Key Skills Databricks Data Warehouse / Lakehouse Pipelines & Processing: Dataflow GraphQL Databricks Certified (Data Engineer, ML) Apache Airflow Data Validation & Governance Nice-to-Have Supply Chain Data Integration

Inventory Operations