
Senior Data Architect
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Oregon.
• Create and deploy production-quality enterprise data architectures.
• Develop and maintain hands-on ETL/ELT, Python, and SQL data pipelines.
• Design enterprise data warehouse/lakehouse solutions that support modern AI/ML and Generative AI applications.
• Architect both batch and real-time data systems.
• Construct real-time analytics, event-driven architectures, and streaming data pipelines.
• Implement change data capture (CDC) and incremental data processing utilizing CDC or Debezium.
• Build AI-ready data pipelines, semantic search, RAG/vector-search infrastructure, and Generative AI data architectures.
• Integrate enterprise data with platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex.
• Collaborate with Treasure Data / Treasure Data CDP and cloud data platforms including AWS, Azure, GCP, Snowflake, or Databricks.
• Over 10 years of experience in Data Engineering/Data Architecture; the posting also mentions 15+ years of experience.
• Proficient in hands-on ETL/ELT, Python, and SQL.
• Experience in Enterprise Data Warehousing/Lakehouse architecture.
• Robust AI/Generative AI data engineering experience, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, or similar technologies.
• Practical experience with Treasure Data / Treasure Data CDP.
• Knowledge of real-time analytics, event-driven architecture, and streaming data pipelines.
• Preference for candidates with experience in Apache Kafka.
• Familiarity with Snowflake, Databricks, or comparable cloud data platforms.
• Strong expertise in AWS, Azure, or GCP data engineering services.
• Experience with CDC or Debezium and incremental data processing.
• Proven track record in designing batch and real-time enterprise data architectures.
• Experience in building AI-ready data pipelines, semantic search, or RAG infrastructure is advantageous.
• Demonstrated ability to personally design and implement production-grade data architecture, rather than solely maintaining existing ETL processes.
• Option for remote work.
• Contract position.
• Confidential treatment of applicant information in accordance with EEO guidelines.
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