Senior Data Architect with Generative AI

XChange Software Inc; Houston (TX); Remote; USD 150,000 - 190,000; Full time

Job summary

XChange Software Inc in Houston, TX seeks a Senior Data Architect for a 12+ month contract to design and implement scalable data platforms for AI workloads. The role emphasizes hands-on work across ETL/ELT, streaming pipelines, and real-time analytics.

You'll work with technologies like Python, SQL, Snowflake/Databricks, Kafka, and major cloud services (AWS/Azure/GCP), focusing on RAG, vector databases, and AI-ready data pipelines.

Qualifications

• 12+ years of experience in data architecture and big data platforms.
• Hands-on with ETL/ELT and modern data warehousing.
• Experience with real-time and streaming pipelines.
• Strong AI/ML data engineering focus, incl. generative AI data pipelines.

Skills

ETL/ELT

Python

SQL

Enterprise Data Warehousing

Generative AI data eng

RAG

Vector databases

LangChain / LangGraph

AI Agents

AI/ML data services

Treasure Data CDP

Real-time analytics

Event-driven architecture

Streaming data pipelines

Apache Kafka

Snowflake / Databricks

Cloud data services (AWS/Azure/GCP)

CDC / Debezium

Batch + real-time architectures

Semantic search / RAG infra

Tools

Kafka

Snowflake

Databricks

Treasure Data CDP

Debezium

AWS

Azure

GCP

Job description

Senior Data Architect (with Generative AI)

Location: Houston, TX (100% Remote)

Duration: 12+ Months Contract

Job Description

We are looking for a 12+ years experienced Senior Data Architect for a contract role.

• Must have strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing experience.
• AI/Generative AI data engineering experience is strongly required— RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, etc.
• We are specifically interested in candidates who understand how enterprise data platforms support modern AI/ML and Generative AI applications.
• Treasure Data / Treasure Data CDP experience is a key requirement — please prioritize candidates with real production experience.
• Strong experience with real-time analytics, event-driven architecture, and streaming data pipelines.
• Hands-on Apache Kafka experience is highly preferred.
• Experience with Snowflake, Databricks, or equivalent cloud data platforms.
• Strong experience with AWS, Azure, or GCP data engineering services.
• CDC or Debezium and incremental data processing experience is required.
• Candidate should have experience designing batch + real-time enterprise data architectures.
• Experience building AI-ready data pipelines / semantic search / RAG infrastructure will be a major plus.