AI Data Architect

• Data Architect - AI
• Job Summary
• We 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 Data

environments.

• 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, and

• delivery.
• • 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, Advanced
• Analytics, 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 AI

• adoption.
• • Establish architecture standards supporting RAG, Knowledge Graphs, Vector Stores, AI
• Agents, and MLOps platforms.
• • Define processes and controls to improve data quality and data reliability for AI model
• training and inference.
• • Collaborate with Data Science and AI teams to ensure data platforms meet AI readiness
• requirements
• • Ownership of MDM and reference data, including golden records, master data domains
• and authoritative sources.
• • Make SSOT a clear responsibility, especially identifying which systems should be treated
• as 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 and
• architecture decision records.
• Required Experience
• • 10+ years of experience in Data Architecture, Big Data Architecture, or Enterprise
• Information Management.
• • Strong hands-on experience designing and implementing enterprise on-premises data
• platforms.
• • Proven experience designing large-scale Data Warehouses, Data Lakes, and Lakehouse
• platforms.
• • Experience designing Big Data environments handling high-volume and high-velocity
• workloads.

• Experience establishing enterprise data governance and data quality frameworks.
• Experience supporting AI, Machine Learning, and Advanced Analytics initiatives through

enterprise data architecture.

• Experience working with distributed processing and storage platforms.