Senior AI Data Engineer - Enterprise Data Platforms

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 10+ years of experience in Data Engineering, Data Architecture, or Data Platform Engineering.
• Strong expertise in cloud platforms such as Azure, AWS, or GCP.
• Deep experience with modern data ecosystems including data lakes, lakehouses, data warehouses, and streaming platforms.
• Experience building and supporting AI/ML data pipelines and feature engineering workflows.
• Familiarity with feature stores, model lifecycle support, and ML operationalization.
• Experience designing and implementing LLM-related data pipelines.
• Strong understanding of data governance, metadata management, lineage, security, and compliance frameworks.
• Proficiency with SQL, Python, Spark, and modern data integration technologies.
• Experience working with distributed data processing frameworks and large-scale datasets.

Preferred Qualifications

• Experience building data platforms that support AI agents and agentic workflows.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures and semantic search solutions.
• Experience with vector databases, embeddings, and knowledge graph technologies.
• Exposure to data mesh and domain-oriented data architecture principles.
• Experience supporting enterprise AI transformation initiatives.
• Familiarity with MLOps, DataOps, and platform engineering practices.
• Experience working in highly regulated enterprise environments.