Data Architect
HCLTech
Role description
HCLTech is looking for a highly talented and self- motivated Data & AI Architect to join it in advancing the technological world through innovation and creativity.
Job Title: Data & AI Architec
tJob ID: 15060
6Position Type: Full Tim
) Primary Ski
llData architecture , cloud ( Azure / GCP / AWS ) , Databricks / snowflake , Data modelling, exposure to agentic Ai , Gen
AISecondary Ski
,Mandatory Skil
lsPyspark, advance SQL, ETL , data- warehousi
ngMust-Have Skil
lsPyspark, advance SQL, ETL , data- warehousi
ngGood-to-Have Skil
ls Required Skills & Experi
- ence14+ years of overall experience in data architecture, data engineering, or related ro
- les.8+ years of hands-on experience with cloud data platforms (AWS, Azure, and/or GCP) — architecture, design, and implementat
- ion.Hands-on experience with Databricks and/or Snowflake for large-scale data engineering, analytics, and lakehouse worklo
- ads.Proven hands-on experience with AI/ML solutions, including LLM-based application development and AI agent design/developm
- ent.Strong grounding in data modelling (conceptual, logical, physical), data warehousing, and modern lakehouse architectu
- res.Experience with data integration tools/ETL-ELT frameworks (e.g., Informatica, dbt, Talend, Glue, A
- DF).Working knowledge of vector databases (e.g., Pinecone, FAISS, pgvector) and RAG architectu
- res.Experience with agent frameworks/protocols (e.g., LangChain, LangGraph, AutoGen, MCP) is highly desira
- ble.Proficiency in SQL and at least one programming language (Python preferred) for prototyping and integration w
- ork.Solid understanding of data governance, security, and privacy/compliance requirements (e.g., GD
- PR).Strong stakeholder management, communication, and technical leadership ski
lls Preferred Qualifica
- tionsCloud certifications (AWS/Azure/GCP Solutions Architect or Data Engin
- eer).Databricks (e.g., Databricks Certified Data Engineer) and/or Snowflake (e.g., SnowPro Core) certificat
- ions.Experience in a specific domain relevant to the business (e.g., banking, financial services, insura
- nce).Exposure to MLOps/LLMOps tooling (MLflow, Vertex AI, SageMaker, Azure AI Stu
- dio).Experience presenting architecture and AI strategy to senior/executive stakehol
