Data Architect (Logistics & Data Warehousing)
<section class="pb32"> <div class="container"> <div class="mt32"> <div class="row"> <div class="col-md-9"> <h1 data-oe-xpath="/t[1]/t[1]/div[1]/div[1]/section[1]/div[1]/div[1]/div[1]/div[1]/h1[1]" data-oe-model="hr.job" data-oe-id="284" data-oe-field="name" data-oe-type="char" data-oe-expression="job.name">Data Architect (Logistics & Data Warehousing) (Client: ???) [Location: Remote]</h1> <address class="o_portal_address mb-0"> <div class="gap-2"> <div></div> </div> </address> </div> <div class="col-md-3"> <div class="text-center"></div> </div> </div> </div> </div> </section> <div data-oe-xpath="/t[1]/t[1]/div[1]/div[1]/div[1]" data-oe-model="hr.job" data-oe-id="284" data-oe-field="website_description" data-oe-type="html" data-oe-expression="job.website_description" data-oe-sanitize="allow_form"> <section class="pt32" data-last-history-steps=",629352454793472,889240224476898,1220308968833081"> <div class="container"> <div class="row"> <div class="col-lg-8 pb32"> <div> Responsibilities</div> <div></div> <div>Architecture & Strategy: Design, build, and maintain high-performance, scalable data warehousing systems and data pipelines tailored for large-scale inventory and logistics reporting.</div> <div>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).</div> <div>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.</div> <div>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.</div> <div>Governance & Standards: Establish data governance policies, security protocols, data quality frameworks, and best practices across the organization’s data ecosystem.</div> <div>Optimization & Performance: Continuously monitor and tune database performance, optimize costs for cloud data platforms, and proactively troubleshoot data flow bottlenecks.</div> <div></div> <div></div> <div>Key Skills</div> <div></div> <div>Databricks</div> <div>Data Warehouse / Lakehouse Pipelines & Processing: Dataflow</div> <div>GraphQL</div> <div>Databricks Certified (Data Engineer, ML)</div> <div>Apache Airflow</div> <div>Data Validation & Governance</div> <div></div> <div></div> <div>Nice-to-Have</div> <div></div> <div>Supply Chain Data Integration</div> <p class="lead">Inventory Operations</p> </div> <div class="col-lg-3 offset-lg-1 pb32"></div> </div> </div> </section> </div>