Data Architect - AI

Responsibilities:

• Define and drive the enterprise AI and data architecture roadmap.
• Architect data lakes, data warehouses, data pipelines, and real-time data platforms.
• Design scalable AI/GenAI solutions leveraging LLMs, RAG, Agentic AI, and vector databases.
• Build event-driven architectures using Kafka, Kafka Connectors, or similar technologies.
• Establish data governance, security, lineage, quality, and compliance standards.

Requirements:

• Bachelor's or master's degree in computer science, engineering, or a related field.
• AWS/Azure AI or data certifications preferred.
• Experience in BFSI, FinTech, lending, or digital banking domains.

Required Skills:

• AI/GenAI: LLMs, RAG, Agentic AI.
• Data Architecture: Data Modeling, Data Lakes, Data Warehousing.
• Cloud Platforms: AWS (preferred), Azure, or GCP.
• Data Platforms: Databricks, Snowflake, etc.
• Databases: PostgreSQL, MySQL, NoSQL, and Vector Databases.
• Data Engineering: ETL/ELT, Streaming Data, Kafka.
• Programming: Python, SQL, Shell Scripting.
• Governance: Data Quality, Security, Privacy, Metadata, Lineage.
• LLMOps and AI Platform Engineering.