Key Responsibilities:

- Design and implement scalable, secure, and high-performance data architecture solutions tailored for logistics operations.

- Define data standards, models, and governance policies across heterogeneous data sources (e.g., EDI, ERP, TMS, WMS).

- Architect and optimize data pipelines to enable real-time analytics and reporting for warehouse management, freight, and inventory systems.

- Collaborate with business stakeholders to translate operational logistics needs into actionable data strategies.

- Ensure system reliability, data security, and compliance with relevant regulations.

- Evaluate and recommend tools and platforms including cloud-based data services (Azure, AWS, GCP).

- Lead data integration efforts including legacy systems migration and EDI transformations.

Required Skills & Qualifications:

- Proven experience as a Data Architect in logistics, transportation, or supply chain domains.

- Strong understanding of EDI formats, warehouse operations, fleet data, and logistics KPIs.

- Hands-on experience with data modeling, ETL, ELT, and data warehousing.

- Expertise in cloud platforms (Azure preferred), relational and NoSQL databases, and BI tools.

- Knowledge of data governance, security, and data lifecycle management.

- Familiarity with tools like Informatica, Talend, SQL Server, Snowflake, or BigQuery is a plus.

- Excellent analytical thinking and stakeholder communication skills.