Data and AI Architect

Overview

The Data and AI Architect plays a critical role in shaping the organization's comprehensive data architecture while incorporating Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. This position guarantees enterprise data assets are trustworthy, secure, and efficiently governed to facilitate advanced analytics, scalable AI solutions, and data-driven decision processes.

Educational & Professional Background

• A bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a similar discipline is required.
• A master's degree in Data Science, Artificial Intelligence, Computer Science, or related fields is preferred.
• At least 15 years of extensive experience in enterprise data architecture, data governance, and information management is essential.
• Demonstrable experience in designing enterprise-level data platforms, embedding AI and ML capabilities within enterprise frameworks.
• Proven track record in developing data standards, governance models, and technology roadmaps at the enterprise level.

Technical & Role Requirements

• Expertise in crafting enterprise data platforms including data lakes, data warehouses, and cloud-native infrastructures.
• Practical experience with AI/ML platforms, MLOps practices, and implementing enterprise AI architectures.
• Familiarity with enterprise integration methods such as APIs, event-driven systems, and distributed platforms.
• Strong foundation in data governance strategies, metadata and master data management, along with data quality mechanisms.
• Experience working with cloud services like Microsoft Azure, AWS, or Google Cloud Platform.
• Knowledge of enterprise architectural frameworks including TOGAF and adherence to architecture governance principles.
• Proficiency in stakeholder engagement, communication, and leadership abilities.

Preferred Certifications

• TOGAF Certification
• Microsoft Azure Solutions Architect Expert
• AWS Certified Solutions Architect - Professional
• Google Professional Cloud Architect
• DAMA Certified Data Management Professional (CDMP)
• Microsoft Azure AI Engineer Associate
• AWS Certified Machine Learning - Specialty

Core Technical Competencies

• Enterprise Data Architecture
• Data Governance and Quality Assurance
• Master Data Management (MDM)
• Metadata Management and Data Cataloguing
• Data Warehousing and Lakes
• Lakehouse Architectural Models
• AI and Generative AI Frameworks
• Machine Learning and MLOps
• Enterprise Integration and API Management
• Security, Privacy, and Regulatory Compliance
• Business Intelligence and Analytics
• Architecture Governance and Oversight
• DevSecOps and Continuous Integration/Delivery for AI systems