Lead Data Architect

Data Lead ( Supply Chain ) Philadelphia PA onsite Longterm contractW2 ContractData Architecture & DesignResponsible in designing Supply Chain 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, fulfilment, and supplier performance.Establish architecture standards, patterns, and design guidelines aligned with the enterprise data strategy.Data Engineering & PlatformsArchitect and guide development of scalable data pipelines using,PySpark and Spark-based processingPython for transformation, orchestration, and data servicesEnterprise ETL/ELT frameworksAdvanced SQL for data modeling and analyticsSupport both batch and near–real-time data processing use casesOptimize pipelines for data quality, performance, scalability, and cost.Supply Chain Analytics EnablementEnable downstream usage for,Supply chain planning and forecastingInventory optimization and demand analyticsVendor and procurement performance reportingOperational KPIs and executive dashboardsSKU ManagementPartner with analytics and data science teams to ensure data is fit for advanced analytics platforms.Cloud & Data StorageDesign and oversee implementation of data solutions leveraging cloud-native data platforms.Ensure secure, compliant, and resilient data storage and access patternsData Governance & QualityPartner with governance and security teams to ensure,Data quality, consistency, and reliabilityData lineage, metadata management, and documentationCompliance with data privacy, security, and internal policiesLeadership & CollaborationCollaborate with product owners, supply chain leaders, engineering teams, and vendorsTranslate business and operational needs into technical architecture solutionsMentor data engineers and architects on best practices and design principles QualificationsData 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 dashboardsData Governance: Familiarity with lineage/audit tools (Open Lineage), 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.