Data AI Architect

Job description

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 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.