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Senior Data Architect – AI / Data Engineering(CDC or Debezium)- Remote- 6 Months

Palni IncUnited States🇺🇸United StatesPosted Sep 22, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLAWSETLSnowflakeApacheAzureDatabricksGenerative AIGoogle CloudKafkaPython

Job Description

Senior Data Architect – AI / Data Engineering (CDC or Debezium) 

Remote

Experience: 10+ Years
Employment Type: 6+ Months Contract

 

Job Summary

We are looking for a Senior Data Architect with 10+ years of experience for a contract role. The candidate should have strong hands-on experience in enterprise data architecture, ETL/ELT, cloud data platforms, real-time data processing, and AI/Generative AI data engineering.

The ideal candidate should understand how enterprise data platforms support modern AI/ML and Generative AI applications, with strong experience in designing both batch and real-time enterprise data architectures.

Key Requirements

  • 10+ years of experience as a Senior Data Architect.
  • Strong hands-on experience with ETL/ELT, Python, SQL, and Enterprise Data Warehousing.
  • Strong AI/Generative AI data engineering experience, including:
    • RAG
    • Vector Databases
    • LangChain / LangGraph
    • AI Agents
    • Azure OpenAI
    • AWS Bedrock
  • Strong understanding of how enterprise data platforms support modern AI/ML and Generative AI applications.
  • Treasure Data / Treasure Data CDP experience is a key requirement. Candidates with real production experience will be prioritized.
  • 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 Google Cloud Platform data engineering services.
  • CDC or Debezium and incremental data processing experience is required.
  • Experience designing batch + real-time enterprise data architectures.
  • Experience building AI-ready data pipelines, semantic search, and RAG infrastructure will be a major plus.

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