Senior Data Architect | Remote | 15+ Years of experience
About The Position
We are looking for a Senior Data Architect with over 10 years of experience for a contract role. The ideal candidate will have strong hands-on experience in ETL/ELT, Python, SQL, and Enterprise Data Warehousing. A key requirement is AI/Generative AI data engineering experience, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, and AWS Bedrock. 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 crucial requirement, and we prioritize candidates with real production experience. The role also requires 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 is necessary, along with strong experience with AWS, Azure, or GCP data engineering services. CDC or Debezium and incremental data processing experience is required. The candidate should have experience designing batch + real-time enterprise data architectures. Experience building AI-ready data pipelines, semantic search, or RAG infrastructure will be a significant advantage. We are not looking for traditional ETL/BI-only profiles. The specific ask is for candidates with Treasure Data + Real-Time Analytics + Enterprise ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI.
Requirements
- 10+ years of Data Engineering / Data Architecture experience.
- Strong hands-on ETL/ELT, Python, and SQL experience.
- Enterprise Data Warehouse / Lakehouse experience.
- Hands-on Treasure Data / Treasure Data CDP experience.
- Real-time analytics / streaming experience.
- CDC / Debezium experience.
- Strong Snowflake or Databricks experience.
- Experience designing cloud data architectures on AWS, Azure, or GCP.
- Generative AI data engineering experience.
- Experience building RAG or vector-search pipelines.
- Experience with LangChain, LangGraph, LlamaIndex, or AI Agents.
- Experience integrating enterprise data with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex.
- Experience designing and implementing production-grade data architecture.
Nice To Haves
- Hands-on Apache Kafka experience.
- Experience building AI-ready data pipelines / semantic search / RAG infrastructure.
- Experience with Treasure Data CDP.
Responsibilities
- Design and implement enterprise data architectures supporting modern AI/ML and Generative AI applications.
- Develop and maintain strong hands-on ETL/ELT, Python, and SQL processes.
- Build and manage enterprise data warehouses and data lakehouses.
- Implement AI/Generative AI data engineering solutions, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, and AWS Bedrock.
- Work with real-time analytics, event-driven architecture, and streaming data pipelines.
- Utilize Apache Kafka for streaming data.
- Leverage cloud data platforms such as Snowflake and Databricks.
- Utilize AWS, Azure, or GCP data engineering services.
- Implement CDC or Debezium and incremental data processing.
- Design batch and real-time enterprise data architectures.
- Build AI-ready data pipelines, semantic search, and RAG infrastructure.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
