Senior Data Architect

Innovatix Technology Partners; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Innovatix Technology Partners seeks a Senior Data Architect for a contract role with 10+ years of experience. The ideal candidate combines Treasure Data CDP expertise with real-time analytics and enterprise ETL/ELT, focused on AI-ready data pipelines and scalable cloud platforms.

We prioritize hands-on experience in streaming data, Kafka, and cloud data services (Snowflake/Databricks on AWS/Azure/GCP), plus CDC-based processing. If you excel at building AI-enabled data architectures, apply now.

Qualifications

• Must have hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing experience.
• AI/Generative AI data engineering experience (RAG, vector databases, LangChain/LangGraph, AI Agents, Azure OpenAI, AWS Bedrock) is strongly required.
• Treasure Data / Treasure Data CDP experience in production environments is a key requirement.
• Strong background in real-time analytics, event-driven architectures, and streaming data pipelines.
• Hands-on Apache Kafka experience is highly preferred.
• Experience with Snowflake, Databricks, or equivalent cloud data platforms.
• Experience with AWS, Azure, or GCP data engineering services.
• CDC or Debezium and incremental data processing experience is required.
• Candidates should design batch + real-time enterprise data architectures.
• Experience building AI-ready data pipelines / semantic search / RAG infrastructure is a big plus.

Skills

ETL/ELT

Python

SQL

Enterprise Data Warehousing

Real-time analytics

Event-driven architecture

Streaming data pipelines

Apache Kafka

Treasure Data CDP

Cloud data platforms

Snowflake

Databricks

AWS/Azure/GCP data services

CDC/Debezium

Incremental data processing

AI/Generative AI data engineering

RAG

Vector databases

LangChain/LangGraph

AI Agents

Azure OpenAI

AWS Bedrock

Semantic search

Tools

Treasure Data CDP

Apache Kafka

Snowflake

Databricks

AWS

Azure

GCP

Debezium

Job description

Specific Ask

Ideal candidate will have a combination of Treasure Data + Real-Time Analytics + Enterprise ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI.

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.