Data & AI Architect

Job Description

Must Have Technical/Functional Skills

● Strong experience in enterprise data architecture, data engineering, BI, and analytics platforms.

● Hands-on experience designing and implementing modern data warehouses, data lakes/lake houses, and

ETL/ELT pipelines.

● Experience with modern data platforms such as Databricks, Single Store, Snowflake, Oracle, and/or Vertica.

● Strong knowledge of data integration across cloud platforms, databases, APIs, and enterprise applications.

● Experience with data modeling, data governance, data lineage, data quality, and observability frameworks.

● Strong understanding of ETL/data pipeline management and scripting/automation.

● Experience supporting enterprise reporting, analytics, CRM, AI, and operational platforms.

● Hands-on knowledge of AI model development and integrating AI/ML capabilities with enterprise data platforms.

● Experience with Lang Chain and/or LlamaIndex for building enterprise AI/GenAI solutions.

● Experience with Vector Databases, including vector search, embeddings, and retrieval-based AI solutions.

● Understanding of RAG (Retrieval-Augmented Generation) architecture and integration of structured and unstructured enterprise data with AI applications.

● Understanding of cloud architecture, security, resiliency, performance, regulatory compliance, and IT governance.

● Strong communication and organizational skills with the ability to work with business, architecture, engineering,

and technology teams.