HDFC Credila Financial Services
Data Architect - AI
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- 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.
- 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.
Full description
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.