Job Summary

Data Architect (Logistics & Data Warehousing) (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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Architect (Logistics & Data Warehousing) (India)
🏢 Highbrow Technologies
📍 India