Description

Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications. This role owns the design of AI-ready data pipelines, semantic models, and governance frameworks.

This role is on-site.

Responsibilities

• Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applications.
• Design pipelines to deliver curated, labeled, and feature-rich datasets for model training and inference.
• Develop data ingestion, transformation, and serving layers for both batch and real-time processing.
• Implement data quality, lineage, and governance frameworks to ensure trust and compliance.
• Optimize data architectures for performance, scalability, and cost efficiency while mentoring teams.

Required Skills

• 10+ years of experience in data engineering and platform architecture.
• Strong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystems.
• Experience with AI/ML data pipelines, feature stores, and model lifecycle support.
• Proficiency with LLM data pipelines and vector databases.
• Strong understanding of data governance, metadata management, and security frameworks.
• Ability to develop semantic data models and knowledge graphs.

Preferred Skills

• Experience building data platforms for AI agents and agentic workflows.
• Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search.
• Exposure to data mesh or domain-oriented data architectures.

Key Skills

Education

Bachelor's degree