
Senior Data Architect – Treasure Data, CDP, Snowflake, Databricks, Kafka
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Oregon.
• Create and execute production-level enterprise data architectures.
• Develop and maintain both batch and real-time data architectures.
• Construct hands-on ETL/ELT pipelines utilizing Python and SQL.
• Design architectures for real-time analytics, event-driven systems, and streaming data pipelines.
• Integrate Treasure Data/CDP with enterprise-level data platforms.
• Develop AI-capable data pipelines, semantic search, vector-search, and RAG infrastructure.
• Facilitate modern AI/ML and Generative AI applications through enterprise data platforms.
• Collaborate with Snowflake, Databricks, AWS, Azure, or GCP data engineering services.
• Implement CDC/Debezium and solutions for incremental data processing.
• Over 10 years of experience in Data Engineering / Data Architecture.
• Extensive hands-on experience with ETL/ELT, Python, SQL, and Enterprise Data Warehousing.
• Experience in AI/Generative AI data engineering, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, and similar technologies.
• Familiarity with enterprise data platforms that support modern AI/ML and Generative AI applications.
• Proven experience with Treasure Data / Treasure Data CDP in a production environment.
• Background in real-time analytics, event-driven architecture, and streaming data pipelines.
• Preferred hands-on experience with Apache Kafka.
• Experience with Snowflake, Databricks, or comparable cloud data platforms.
• Strong proficiency with AWS, Azure, or GCP data engineering services.
• Experience with CDC or Debezium and incremental data processing.
• Proven ability to design both batch and real-time enterprise data architectures.
• Experience in building AI-ready data pipelines, semantic search, or RAG infrastructure is advantageous.
• Candidates must have experience in designing and implementing production-grade data architectures, rather than solely maintaining ETL processes.
• Opportunity for remote work.
• Contract position available.
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