Senior AI-Driven Data Architect - Remote (CA)

TMS, LLC; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Remote Jobs is seeking a Senior Data Architect for a remote, California-based contract role requiring 15+ years of experience. The ideal candidate will lead design and implementation of enterprise data platforms supporting AI/ML and Generative AI applications, with strong hands-on ETL/ELT, Python, SQL, and data warehousing.

Experience with Treasure Data CDP, real-time analytics, Kafka, Snowflake/Databricks, and cloud data services (AWS/Azure/GCP) is essential; CDC/Debezium experience is

Qualifications

• 10+ years experience as Senior Data Architect, 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.
• Treasure Data CDP experience is a key requirement 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.
• Please do not submit traditional ETL/BI only profiles.

Skills

ETL/ELT

Python

SQL

Enterprise Data Warehousing

AI/Generative AI data engineering

RAG & AI infra

Tools

Treasure Data CDP

Apache Kafka

Snowflake

Databricks

AWS

Azure

GCP data services

CDC/Debezium

Job description

Remote Jobs is seeking a Senior Data Architect for a remote, California-based contract role requiring 15+ years of experience. The ideal candidate will lead design and implementation of enterprise data platforms supporting AI/ML and Generative AI applications, with strong hands-on ETL/ELT, Python, SQL, and data warehousing.

Experience with Treasure Data CDP, real-time analytics, Kafka, Snowflake/Databricks, and cloud data services (AWS/Azure/GCP) is essential; CDC/Debezium experience is