Data Architect - Supply Chain

Key Responsibilities

• 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 and ensure scalability, reliability, security, and performance.
• Design and optimize data processing and analytics solutions using Databricks, including data lakehouse architecture and distributed data processing.
• Collaborate with data engineering teams to establish best practices for data ingestion, transformation, storage, orchestration, and consumption.
• Analyze complex business and technical requirements and translate them into effective 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 opportunities for data modernization and optimization.
• 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 solutions align with enterprise architecture, cloud security, compliance, and data governance standards.

Must-Have Skills

• 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.

Good-to-Have Skills

• 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.