Hiring for Role: Senior Data Architect | Treasure Data/CDP + Snowflake + Databri

Technology Management Solutions LLC; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Technology Management Solutions LLC is seeking a Senior Data Architect for a 12+ month remote contract in California. The ideal candidate has 15+ years in data engineering/architecture and hands-on expertise with ETL/ELT, Python, SQL, and enterprise data warehousing.

Strong emphasis on AI/Generative AI data engineering, including RAG, vector databases, LangChain/LangGraph, AI Agents, and cloud platforms (Azure OpenAI, AWS Bedrock). Treasure Data CDP production experience is highly preferred.

Qualifications

• 10+ years of Data Engineering / Data Architecture experience.
• Hands-on ETL/ELT, Python, SQL, and data warehousing expertise.
• Experience with AI/data engineering for Generative AI applications.
• Production Treasure Data CDP experience preferred.
• Real-time analytics, streaming pipelines, and event-driven architecture.
• CDC or Debezium experience; batch + real-time design.
• Cloud data platforms on AWS/Azure/GCP and AI integration knowledge.

Skills

ETL/ELT

Python

SQL

Data warehousing

AI data engineering

RAG

Vector databases

LangChain/LangGraph

AI Agents

Azure OpenAI

AWS Bedrock

Treasure Data CDP

Real-time analytics

Streaming data pipelines

Apache Kafka

Snowflake

Databricks

Cloud data platforms

CDC/Debezium

Batch + real-time architecture

AI-ready pipelines

Semantic search

Azure/AWS/GCP data services

Tools

Treasure Data CDP

Snowflake

Databricks

Apache Kafka

Job description

Role: Senior Data Architect Location: CA (Remote) Duration: 12+ Months Experience: 15+ Years

Job 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.

Specific Ask:

Please provide Yes/No + years of experience for each:

• Does the candidate have 10+ years of Data Engineering / Data Architecture experience?
• Does the candidate have strong hands-on ETL/ELT, Python, and SQL experience?
• Does the candidate have enterprise Data Warehouse / Lakehouse experience?
• Does the candidate have hands-on Treasure Data / Treasure Data CDP experience?
• How many years of Treasure Data experience does the candidate have?
• Does the candidate have real-time analytics / streaming experience?
• Does the candidate have hands-on Apache Kafka experience?
• Does the candidate have CDC / Debezium experience?
• Does the candidate have strong Snowflake or Databricks experience?
• Does the candidate have experience designing cloud data architectures on AWS, Azure, or GCP?
• Does the candidate have Generative AI data engineering experience?
• Does the candidate have experience building RAG or vector-search pipelines?
• Does the candidate have experience with LangChain, LangGraph, LlamaIndex, or AI Agents?
• Does the candidate have experience integrating enterprise data with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex?
• Has the candidate personally designed and implemented production-grade data architecture, rather than only maintaining existing ETL jobs?

All your information will be kept confidential according to EEO guidelines.