Data Architect (Logistics & Data Warehousing)

Job Summary

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

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