Data Engineer Lead - Supply Chain

Immediate need for a talented Data Engineer Lead - Supply Chain. This is a 06 - 12 months contract opportunity with long-term potential and is located in Philadelphia, PA (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID: 26-18758

Pay Range: $55/hr - $60/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

• Data Architecture & Design
• Responsible in designing SupplyChain Anomaly Detection and Revenue Assurance platform for Order processing data platform.
• Define and own end-to-end supply chain data architecture, including source ingestion, transformation, storage, and consumption layers.
• Design data models for supply chain domains such as inventory, logistics, fulfillment, and supplier performance.
• Establish architecture standards, patterns, and design guidelines aligned with the enterprise data strategy.
• Data Engineering & Platforms
• Architect and guide development of scalable data pipelines using,
• PySpark and Spark-based processing
• Python for transformation, orchestration, and data services
• Enterprise ETL/ELT frameworks
• Advanced SQL for data modeling and analytics
• Support both batch and near–real-time data processing use cases
• Optimize pipelines for data quality, performance, scalability, and cost.
• Supply Chain Analytics Enablement
• Enable downstream usage for,
• Supply chain planning and forecasting
• Inventory optimization and demand analytics
• Vendor and procurement performance reporting
• Operational KPIs and executive dashboards
• SKU Management
• Partner with analytics and data science teams to ensure data is fit for advanced analytics platforms.
• Cloud & Data Storage
• Design and oversee implementation of data solutions leveraging cloud-native data platforms.
• Ensure secure, compliant, and resilient data storage and access patterns
• Data Governance & Quality
• Partner with governance and security teams to ensure,
• Data quality, consistency, and reliability
• Data lineage, metadata management, and documentation
• Compliance with data privacy, security, and internal policies
• Leadership & Collaboration
• Collaborate with product owners, supply chain leaders, engineering teams, and vendors
• Translate business and operational needs into technical architecture solutions
• Mentor data engineers and architects on best practices and design principles

• Data Engineering: 10 years building data pipelines with Kafka/CDC, ETL tooling.
• Streaming Expertise: Hands on with stream processing using Spark Streaming, Kafka Streams etc..
• SQL & BI: Strong SQL/analytics skills and experience building dashboards
• Data Governance: Familiarity with lineage/audit tools (OpenLineage), data privacy, and regulatory controls.
• Communication: Strong cross functional collaboration and experience presenting to executives.
• Education: Bachelor’s degree in CS/Engineering, or equivalent practical experience.