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.