Enterprise Data & AI Architect: Modern Data Lakes & GenAI

Ztek Consulting, Inc.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Ztek Consulting, Inc. is seeking an experienced Senior Data Architect to design scalable enterprise data, BI, and AI platforms onsite in Jersey City, NJ or Plano, TX. You will lead data modeling, governance, and modern data warehouse/lakehouse initiatives across cloud environments.

Work with business, architecture, and engineering teams to translate requirements into robust data solutions, mentor engineers, and advance AI/GenAI integrations using LangChain, LlamaIndex, and vector databases.

Qualifications

• Experience in enterprise data architecture, data modeling, governance, and observability.
• Hands-on design and implementation of data warehouses/lakehouses and data pipelines.
• Familiarity with Databricks, Snowflake, Oracle, and Vertica platforms; integration across cloud providers.

Responsibilities

• Lead the design of scalable enterprise data, BI, analytics, and AI platforms.
• Architect and implement modern data warehouses and lakehouse architectures.
• Oversee ETL/ELT pipelines and data integration across cloud, databases, and APIs.
• Drive data governance, lineage, and quality frameworks across the enterprise.
• Collaborate with business, architecture, and engineering teams to translate requirements into scalable solutions.
• Guide AI/GenAI integrations using LangChain/LlamaIndex and vector databases.
• Provide technical leadership and set architecture standards for data platforms.

Skills

Enterprise data architecture

Data engineering

BI & analytics platforms

AI/GenAI integration

Cloud platform experience

Communication & collaboration

Tools

Databricks

SingleStore

Snowflake

Oracle

Vertica

LangChain

LlamaIndex

Vector databases

Job description

Ztek Consulting, Inc. is seeking an experienced Senior Data Architect to design scalable enterprise data, BI, and AI platforms onsite in Jersey City, NJ or Plano, TX. You will lead data modeling, governance, and modern data warehouse/lakehouse initiatives across cloud environments.

Work with business, architecture, and engineering teams to translate requirements into robust data solutions, mentor engineers, and advance AI/GenAI integrations using LangChain, LlamaIndex, and vector databases.