Location: Bangalore /Pune/ Hyderabad /Chennai

Required Skills & Experience
- 14+ years of overall e
xperience 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