Data & AI Architect

📋 Description

• Design and evolve enterprise data architectures (data lakes, warehouses, lakehouses).
• Build AI-ready data ecosystems for analytics, ML, generative AI, and automation.
• Architect Azure cloud-native data platforms for ingestion, processing, and analytics.
• Establish governance standards and guidelines for enterprise data platforms.
• Design AI architectures for ML, RAG, Agentic AI, vector search, LLMs.
• Mentor teams and drive architectural excellence across data and engineering.

🎯 Requirements

• Bachelor's or Master's in CS, Data Engineering, Information Systems, or related.
• 9+ years designing enterprise-scale data and analytics platforms.
• Strong Azure cloud-native data and AI expertise.
• Deep knowledge of data modeling, warehousing, lakehouse, and modern data platforms.
• Hands-on with SQL Server, Azure Data Lake, Data Factory, Databricks, Spark, Python, CI/CD.
• Experience designing AI-ready architectures for ML and gen AI; MLOps knowledge.

🎁 Benefits

• Full-time remote opportunity based in India.
• Competitive compensation package aligned with experience.
• Opportunity to work on advanced cloud, data, and AI transformation initiatives.
• Flexible remote work environment for collaboration across teams.
• Exposure to cutting-edge AI technologies, including generative AI.
• Opportunities for professional growth through technical leadership and innovation.