Senior Data Architect – Treasure Data, CDP, Snowflake, Databricks, Kafka

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🕒 4 days ago

🌲 Oregon – Remote

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⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 14%

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Logo of TMS, LLC

TMS, LLC

51 - 200 employees

Founded 2009

💼 Consulting

🏛️ Government

Consulting • Government

TMS, LLC is a technology management and advisory firm (Technology Management Solutions) that provides IT advisory and consulting, program and project management, financial management, and organizational assessment services. The company works with U. S. federal government clients — including DHS OCIO, FEMA, the National Institute of Mental Health OCIO, and TSA — to improve mission performance, reduce costs, and modernize operations. TMS emphasizes experienced staff, proven processes, mentoring and exercises for system readiness, and cost allocation/charge-back methodologies for transparency and efficiency.

📋 Description

• Design and implement production-grade enterprise data architectures • Build and support batch and real-time data architectures • Develop hands-on ETL/ELT pipelines using Python and SQL • Design real-time analytics, event-driven architectures, and streaming data pipelines • Integrate Treasure Data/CDP with enterprise data platforms • Build AI-ready data pipelines, semantic search, vector-search, and RAG infrastructure • Support modern AI/ML and Generative AI applications with enterprise data platforms • Work with Snowflake, Databricks, AWS, Azure, or GCP data engineering services • Implement CDC/Debezium and incremental data processing solutions

🎯 Requirements

• 10+ years of Data Engineering / Data Architecture experience • Strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing experience • AI/Generative AI data engineering experience, including RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, and related technologies • Understanding of enterprise data platforms supporting modern AI/ML and Generative AI applications • Treasure Data / Treasure Data CDP production experience • Experience with real-time analytics, event-driven architecture, and streaming data pipelines • Hands-on Apache Kafka experience 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 • Experience designing batch and real-time enterprise data architectures • Experience building AI-ready data pipelines, semantic search, or RAG infrastructure is a plus • Candidates should have production-grade data architecture design and implementation experience, not only ETL maintenance

🏖️ Benefits

• Remote work • Contract opportunity

Apply Now

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