Job Description

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 contemporary 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