The Data Architect will lead the design, implementation, and governance of enterprise-grade data architecture for a strategic initiative. This role ensures scalable, secure, high-performing data solutions that support advanced analytics and business insights across the organization. Key Responsibilities Design and implement data architecture aligned with enterprise standards. Develop logical and physical data models, data flow diagrams, and architecture artifacts. Ensure complete data lineage, traceability, and transparency across systems. Collaborate with product managers, solution architects, and engineering teams. Provide technical leadership and mentorship to data engineers and architects. Ensure compliance with governance, security, and regulatory frameworks (GDPR, CCPA). Define metadata management, data cataloging, and data quality standards. Recommend tools and frameworks for data ingestion, transformation, and storage. Promote use of Azure analytics services, Databricks, and BI tools. Optimize performance, scalability, and cost efficiency for large data workloads. Create and maintain documentation, data dictionaries, and modeling standards. Required Qualifications 10+ years in data and analytics with proven experience as a Data Architect on large-scale projects. Strong expertise in: Data integration, modeling, and architectural principles. Data Mesh, Data Lakes, Data Warehouses, and Lakehouse architectures. Spark, SQL, Python, ingestion pipelines, metadata management. Azure (ADF), Databricks, and BI tools (Power BI). Knowledge of data governance, security, and regulatory compliance. Excellent communication, leadership, and stakeholder management abilities. Experience in manufacturing, engineering, ERP, or supply chain (SAP preferred). Education: Bachelor’s degree in Computer Science or related fields. Preferred Certifications: Azure Data Engineer / Azure Data Architect. #J-18808-Ljbffr