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.
Data & AI Architect in jersey city at Unknown Company
This position is listed as full time and onsite.