Senior Data Architect

Role: Senior Data Architect

Duration: 12 Months

Mode of Work: Remote Work

Specific Ask: Ideal candidate will have a combination of Treasure Data + Real-Time Analytics + Enterprise ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI.

Job Description

We are looking for a 10+ 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.

• Please do not submit traditional ETL/BI only profiles.