Cloud Data Architect

📋 Description

• Architect and own the enterprise AI data platform as the single source of truth.
• Design multi-domain data models for AI workloads with lineage and contracts.
• Own real-time streaming (Kafka, Spark) and batch (Databricks, PySpark, Delta Lake).
• Manage cloud storage/compute (AWS, Azure) and data quality/metadata.
• Modernize legacy pipelines to cloud-native AI-ready architectures.

🎯 Requirements

• 15+ years of hands-on data engineering and architecture experience.
• 3-5+ years building production AI/ML data infra.
• Experience designing enterprise-scale AI data platforms serving multiple consumers.
• Deep expertise in lakehouse/data mesh: Databricks, Delta Lake, PySpark, Kafka, Spark.
• Hands-on with vector stores, semantic models, knowledge graphs, retrieval infra.
• LLMOps: MLflow, CI/CD for AI, automated evaluation, production monitoring.