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

Job not on LinkedIn

🔥 5 minutes ago

🌲 Oregon – Remote

🌲 Oregon – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TMS

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

TMS is a leading digital product engineering company specializing in designing and building innovative solutions for modern digital experiences. As a trusted partner, TMS supports clients throughout the entire product development lifecycle from conception to commercialization, providing technical and non-technical expertise to accelerate the process. By offering services such as software applications, IoT integration, AI and ML advancement, BI & data intelligence, and more, TMS tailors strategic engagement models to shorten development cycles, ensuring faster time-to-market and greater success for its clients.

📋 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