AI Data Architect

Data Architect - AIJob SummaryWe are seeking an experienced Data Architect to design, govern, and optimize enterprise Data,Big Data, Analytics, and AI platforms.Enterprise Data & Big Data Architecture

• Design enterprise-scale Data, Big Data, Analytics, and AI platforms.
• Architect Data Lakes, Lakehouses, Data Warehouses, Data Marts, and Big Dataenvironments.
• Design architectures supporting structured, semi-structured, and unstructured data.
• Establish data platform standards, reference architectures, and best practices.
• Design highly scalable batch, streaming, and real-time data processing ecosystems.
• Define enterprise patterns for data ingestion, integration, transformation, orchestration, anddelivery.
• Responsible for creating conceptual, logical and physical data models.AI-Ready Data Foundation and Data governance
• Design and govern data architectures that support AI, Machine Learning, AdvancedAnalytics, and Generative AI workloads.
• Ensure enterprise data is discoverable, trusted, governed, and consumable for AI initiatives.
• Design metadata, lineage, cataloging, and semantic layer capabilities required for AIadoption.
• Establish architecture standards supporting RAG, Knowledge Graphs, Vector Stores, AIAgents, and MLOps platforms.
• Define processes and controls to improve data quality and data reliability for AI modeltraining and inference.
• Collaborate with Data Science and AI teams to ensure data platforms meet AI readinessrequirements
• Ownership of MDM and reference data, including golden records, master data domainsand authoritative sources.
• Make SSOT a clear responsibility, especially identifying which systems should be treatedas the trusted source for each data domain.
• Strengthen the role around data governance, including stewardship, ownership,classification, retention and policy enforcement.
• Add ownership of architecture standards, reference architectures, design reviews andarchitecture decision records.Required Experience
• 10+ years of experience in Data Architecture, Big Data Architecture, or EnterpriseInformation Management.
• Strong hands-on experience designing and implementing enterprise on-premises dataplatforms.
• Proven experience designing large-scale Data Warehouses, Data Lakes, and Lakehouseplatforms.
• Experience designing Big Data environments handling high-volume and high-velocityworkloads.
• Experience establishing enterprise data governance and data quality frameworks.
• Experience supporting AI, Machine Learning, and Advanced Analytics initiatives throughenterprise data architecture.
• Experience working with distributed processing and storage platforms.