Data Architect – Supply Chain

• Design and implement scalable data architectures for supply chain data platforms, analytics, reporting, and downstream applications
• Define enterprise data models, logical and physical data structures, data domains, and data integration patterns
• Architect cloud-based data solutions using Microsoft Azure services
• Design and optimize data processing and analytics solutions using Databricks, including data lakehouse architecture and distributed data processing
• Collaborate with data engineering teams on data ingestion, transformation, storage, orchestration, and consumption best practices
• Translate complex business and technical requirements into architecture and solution designs
• Establish standards for data quality, metadata management, lineage, security, access control, and governance
• Work with cross-functional stakeholders to understand supply chain processes and identify data modernization and optimization opportunities
• Review existing data platforms and recommend improvements to architecture, performance, scalability, and maintainability
• Provide technical leadership and architectural guidance to data engineers and development teams
• Create architecture diagrams, technical documentation, data models, and solution design specifications
• Ensure alignment with enterprise architecture, cloud security, compliance, and data governance standards

• Minimum 8+ years of experience
• 8–12 years of experience in data architecture, data engineering, or related technology roles
• Strong hands-on experience in Data Architecture and designing enterprise-scale data platforms
• Strong expertise in Microsoft Azure and cloud-based data architecture
• Extensive experience with Databricks, including lakehouse architecture, data processing, and analytics workloads
• Strong understanding of data modeling, data warehousing, data lakes, ETL/ELT, and data integration concepts
• Experience designing scalable and high-performance data solutions for complex enterprise environments
• Strong understanding of data governance, security, quality, lineage, and metadata management
• Excellent communication and stakeholder management skills with the ability to work across business and technical teams
• Experience working with SAP S/4HANA and SAP-related enterprise data
• Hands-on knowledge of Azure Data Factory (ADF) for data integration and orchestration
• Prior experience working with Supply Chain data, processes, and systems
• Exposure to ERP, procurement, inventory, logistics, manufacturing, demand planning, or order management data
• Knowledge of modern data engineering and cloud-native architecture patterns