Data & AI Architect/Remote

Job Title: Data & AI Architect

Location- Remote

Role Overview

We are seeking a Data & AI Architect to design and lead the development of scalable data platforms and AI-driven solutions. This role combines data architecture and AI expertise to enable advanced analytics, machine learning, and data-driven decision-making across the organization.

Key Responsibilities

• Design end-to-end data and AI architecture, including data pipelines, storage, and AI/ML systems
• Define data strategy, governance, and architecture standards
• Build scalable data platforms (data lakes, warehouses, lakehouses)
• Architect AI/ML solutions, including model development, deployment, and monitoring
• Collaborate with data engineers, data scientists, and business stakeholders
• Select appropriate tools, frameworks, and cloud platforms
• Ensure data quality, security, and compliance
• Implement MLOps and DataOps best practices
• Guide teams on best practices for data modeling, integration, and AI development
• Stay updated with emerging technologies in data engineering and AI

Required Skills & Qualifications

• Strong experience in data architecture and data engineering
• Solid understanding of AI/ML concepts and frameworks
• Proficiency in SQL and programming languages like Python or Scala
• Experience with big data technologies (Spark, Hadoop, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
• Knowledge of data warehousing, ETL/ELT, and data modeling techniques
• Familiarity with MLOps tools and practices
• Strong system design and problem-solving skills
• Excellent communication and stakeholder management skills

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• Experience with real-time data processing and streaming technologies
• Knowledge of AI domains such as NLP, computer vision, or generative AI
• Experience in building enterprise-scale data platforms
• Familiarity with governance tools and data catalogs

Key Deliverables

• Scalable and secure data & AI architecture
• Production-ready data pipelines and AI systems
• Data governance frameworks and standards
• High-quality, accessible data for analytics and AI use cases