Hiring for Role: Senior Data Architect | Treasure Data/CDP + Snowflake + Databri

Role: Senior Data Architect Location: CA (Remote) Duration: 12+ Months Experience: 15+ Years 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. Specific Ask: Please submit candidates who have Treasure Data + Real-Time Analytics + Enterprise ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI. Please provide Yes/No + years of experience for each: • Does the candidate have 10+ years of Data Engineering / Data Architecture experience? • Does the candidate have strong hands-on ETL/ELT, Python, and SQL experience? • Does the candidate have enterprise Data Warehouse / Lakehouse experience? • Does the candidate have hands-on Treasure Data / Treasure Data CDP experience? • How many years of Treasure Data experience does the candidate have? • Does the candidate have real-time analytics / streaming experience? • Does the candidate have hands-on Apache Kafka experience? • Does the candidate have CDC / Debezium experience? • Does the candidate have strong Snowflake or Databricks experience? • Does the candidate have experience designing cloud data architectures on AWS, Azure, or GCP? • Does the candidate have Generative AI data engineering experience? • Does the candidate have experience building RAG or vector-search pipelines? • Does the candidate have experience with LangChain, LangGraph, LlamaIndex, or AI Agents? • Does the candidate have experience integrating enterprise data with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex? • Has the candidate personally designed and implemented production-grade data architecture, rather than only maintaining existing ETL jobs? All your information will be kept confidential according to EEO guidelines. Originally posted on Himalayas