Senior AI-Driven Data Architect - Remote (CA)
Remote Jobs
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Remote Jobs is seeking a Senior Data Architect for a remote, California-based contract role requiring 15+ years of experience. The ideal candidate will lead design and implementation of enterprise data platforms supporting AI/ML and Generative AI applications, with strong hands-on ETL/ELT, Python, SQL, and data warehousing.
Experience with Treasure Data CDP, real-time analytics, Kafka, Snowflake/Databricks, and cloud data services (AWS/Azure/GCP) is essential; CDC/Debezium experience is
Qualifications
- 10+ years experience as Senior Data Architect, 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.
- Treasure Data CDP experience is a key requirement 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.
Skills
Tools
Job description
Remote Jobs is seeking a Senior Data Architect for a remote, California-based contract role requiring 15+ years of experience. The ideal candidate will lead design and implementation of enterprise data platforms supporting AI/ML and Generative AI applications, with strong hands-on ETL/ELT, Python, SQL, and data warehousing.
Experience with Treasure Data CDP, real-time analytics, Kafka, Snowflake/Databricks, and cloud data services (AWS/Azure/GCP) is essential; CDC/Debezium experience is
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