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