Data AI Architect

HCLTech; Bengaluru; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

HCLTech in Bengaluru is seeking a senior data architect/engineer with 14+ years of experience in data architecture, data engineering, and related roles. The role emphasizes designing scalable data platforms and Lakehouse architectures.

You will work with Databricks and Snowflake, implement AI/ML solutions, and guide data governance, security, and privacy. Strong leadership and stakeholder communication are essential.

Qualifications

• 14+ years of 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, data warehousing, and modern Lakehouse architectures.
• Experience with data integration tools/ETL-ELT frameworks (e.g., Informatica, dbt, Talend, Glue, ADF).
• Working knowledge of vector databases and RAG architectures.
• Experience with agent frameworks/protocols (e.g., Lang Chain, Lang Graph, AutoGen, MCP).
• Proficiency in SQL and at least one programming language (Python preferred).
• Understanding of data governance, security, and privacy/compliance requirements (e.g., GDPR).
• Strong stakeholder management, communication, and technical leadership skills.

Skills

Data architecture

Data engineering

Cloud platforms

Databricks

Snowflake

AI/ML solutions

Data modelling

Data warehousing

Lakehouse architectures

ETL/ELT frameworks

Vector databases

RAG architectures

Agent frameworks

SQL

Python

Data governance

Stakeholder leadership

Job description

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 modern 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.