Job Title: Data & AI Architect
Location: Jersey City, NJ/ Plano, TX /Hybrid
Duration: Full Time
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/lakehouses, and
ETL/ELT pipelines.
● Experience with modern data platforms such as Databricks, SingleStore, 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 LangChain 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.
Roles & Responsibilities
● Architect and design scalable enterprise data, BI, analytics, and AI platforms.
● Design and implement modern data warehouses, lakehouse architectures, and scalable ETL/ELT data pipelines.
● Lead data integration initiatives involving cloud platforms, databases, APIs, and enterprise applications.
● Define enterprise data models, architecture standards, and best practices for platforms such as Databricks,
SingleStore, Snowflake, Oracle, and Vertica.
● Establish and enhance data governance, lineage, observability, and data-quality frameworks to create trusted
and reusable enterprise data assets.
● Design data architectures supporting reporting, analytics, CRM, AI/ML, GenAI, and operational use cases.
● Develop and integrate AI-driven solutions using AI models, LangChain/LlamaIndex, vector databases,
embeddings, and RAG architectures.
● Partner with business and technology teams to translate functional requirements into scalable technical and data
solutions.
● Drive cloud and data platform modernization initiatives with a focus on scalability, performance, resiliency,
security, and compliance.
● Provide technical leadership and architectural guidance across data architecture, ETL design, data onboarding,
AI integration, and platform engineering.
● Define reusable architecture patterns and ensure solutions align with enterprise architecture and IT governance
standards
