[Hiring] Senior Data Architect @TMS LLC

Role Description

We are looking for a 10+ years experienced Senior Data Architect for a contract role.

• Must have strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing experience.
• AI/Generative AI data engineering experience is strongly required— RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock, etc.
• We are specifically interested in candidates who understand how enterprise data platforms support modern AI/ML and Generative AI applications.
• Treasure Data / Treasure Data CDP experience is a key requirement — please prioritize candidates with real production experience.
• Strong experience with real-time analytics, event-driven architecture, and streaming data pipelines.
• Hands-on Apache Kafka experience is highly 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 is required.
• Candidate should have experience designing batch + real-time enterprise data architectures.
• Experience building AI-ready data pipelines / semantic search / RAG infrastructure will be a major plus.
• Please do not submit traditional ETL/BI only profiles.

Qualifications

• 10+ years of Data Engineering / Data Architecture experience.
• Strong hands-on ETL/ELT, Python, and SQL experience.
• Enterprise Data Warehouse / Lakehouse experience.
• Hands-on Treasure Data / Treasure Data CDP experience.
• Real-time analytics / streaming experience.
• Hands-on Apache Kafka experience.
• CDC / Debezium experience.
• Strong Snowflake or Databricks experience.
• Experience designing cloud data architectures on AWS, Azure, or GCP.
• Generative AI data engineering experience.
• Experience building RAG or vector-search pipelines.
• Experience with LangChain, LangGraph, LlamaIndex, or AI Agents.
• Experience integrating enterprise data with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex.
• Experience designing and implementing production-grade data architecture.

Requirements

• 10+ years of Data Engineering/Data Architecture experience, with strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehouse/Lakehouse architecture experience.
• Hands-on production experience with Treasure Data / Treasure Data CDP.
• Hands-on experience designing and implementing real-time analytics, event-driven architectures, and streaming data pipelines, including Apache Kafka.
• Hands-on experience with CDC/incremental data processing (or Debezium) and designing enterprise cloud data architectures using AWS, Azure, GCP, Snowflake, or Databricks.
• Hands-on experience building AI-ready data pipelines, RAG/vector-search infrastructure, or Generative AI data architectures.

Company Description