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