Senior Data Engineer

Responsibilities

• Architect and maintain scalable data pipelines for batch, streaming, and real-time use cases
• Transform raw enterprise data into structured datasets for AI/ML and analytics
• Design data platforms supporting DataOps, FinOps, and AI-driven decision-making
• Collaborate with AI, product, and engineering teams to align data infrastructure with agentic system needs
• Implement governance, lineage, and observability for enterprise-scale data workflows
• Ensure performance, reliability, and cost-efficiency in data infrastructure

Requirements

• 5–8 years of experience in data engineering or big data platforms
• Proficiency in Python, Java/Scala, and SQL
• Hands-on experience with Spark, Kafka, Delta Lake, and distributed systems
• Strong knowledge of ETL pipelines, data warehousing, and analytics design patterns
• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with vector databases and RAG pipelines is a plus

Benefits

• Opportunity to architect data systems that power enterprise-grade AI agents
• Career mobility into roles such as Principal Data Architect or AI Systems Architect
• Global exposure working with enterprises worldwide on mission-critical systems
• High-growth environment within a leading AI Foundry

About the Company

XenonStack is a fast-growing Data and AI Foundry for Agentic Systems, enabling enterprises to gain real-time and intelligent business insights. We build scalable, reliable, and intelligent data platforms to accelerate the world’s transition to AI + Human Intelligence.