Location: Bangalore /Pune/ Hyderabad /Chennai

Required Skills & Experience
14+ years of overall experience in data architecture, data engineering, or related roles.
8+ years of hands-on experience with cloud data platforms (AWS, Azure, and/or GCP) — architecture, design, and implementation.
Hands-on experience with Databricks and/or Snowflake for large-scale data engineering, analytics, and Lakehouse workloads.
Proven hands-on experience with AI/ML solutions, including LLM-based application development and AI agent design/development.
Strong grounding in data modelling (conceptual, logical, physical), data warehousing, and up-to-date Lakehouse architectures.
Experience with data integration tools/ETL-ELT frameworks (e.g., Informatica, dbt, Talend, Glue, ADF).
Working knowledge of vector databases (e.g., Pinecone, FAISS, vector) and RAG architectures.
Experience with agent frameworks/protocols (e.g., Lang Chain, Lang Graph, AutoGen, MCP) is highly desirable.




Proficiency in SQL and at least one programming language (Python preferred) for prototyping and integration work.
Solid understanding of data governance, security, and privacy/compliance requirements (e.g., GDPR).
Strong stakeholder management, communication, and technical leadership skills.

Preferred Qualifications
Cloud certifications (AWS/Azure/GCP Solutions Architect or Data Engineer).
Databricks (e.g., Databricks Certified Data Engineer) and/or Snowflake (e.g., SnowPro Core) certifications.
Experience in a specific domain relevant to the business (e.g., banking, financial services, insurance).
Exposure to MLOps/LLMOps tooling (MLflow, Vertex AI, SageMaker, Azure AI Studio).
Experience presenting architecture and AI strategy to senior/executive stakeholders.

📌 Data AI Architect (Bengaluru)
🏢 HCLTech
📍 Bengaluru