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Senior Data Architect – Generative AI -- 100% Remote -- C2C/W2

Trebecon LLCUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
SQLAWSETLSnowflakeApacheDatabricksGoogle CloudKafkaPythonGenerative AIAzureLangChainLangGraphRAG

Job description

Job Title: Senior Data Architect – Generative AI
Location: Dallas, TX (100% Remote)
  • Key Responsibilities
  • Design and implement enterprise-scale data architecture and solutions.
  • Build and optimize ETL/ELT pipelines using Python and SQL.
  • Design enterprise data warehouses and cloud-based data platforms.
  • Develop AI-ready data pipelines to support Generative AI and ML applications.
  • Design and implement RAG architectures and semantic search solutions.
  • Work with vector databases, LangChain, LangGraph, and AI agents.
  • Integrate Azure OpenAI and AWS Bedrock into enterprise data solutions.
  • Design real-time analytics and event-driven data architectures.
  • Develop and manage streaming data pipelines using Apache Kafka.
  • Implement Change Data Capture (CDC), Debezium, and incremental data processing.
  • Design and manage batch and real-time data processing architectures.
  • Work with Snowflake, Databricks, and other cloud data platforms.
  • Collaborate with AI/ML engineers, data engineers, and business stakeholders.
Required Skills
  • 10+ years of experience in Data Architecture / Data Engineering.
  • Strong hands-on experience with ETL/ELT, Python, and SQL.
  • Enterprise Data Warehousing experience.
  • Treasure Data / Treasure Data CDP – Key Requirement.
  • Generative AI, RAG, and Vector Databases.
  • LangChain / LangGraph and AI Agents.
  • Azure OpenAI / AWS Bedrock.
  • Real-time analytics and event-driven architecture.
  • Apache Kafka and streaming data pipelines.
  • Snowflake / Databricks or equivalent cloud data platforms.
  • AWS / Azure / Google Cloud Platform data engineering services.
  • CDC, Debezium, and incremental data processing.
  • Experience designing batch and real-time enterprise data architectures.

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