Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Hiring | Senior Data Architect (with Generative AI) | Remote | Independent Visa only
Remote, OR, United States
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
Remote — work setting source
Role: Senior Data Architect (with Generative AI) Location: Houston, TX (Remote) Duration: 12 Months Contract
Listed location: Remote, OR, United States
Read the full posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
Before you apply
- Work authorization
- No visa sponsorship
What you’ll work on
Full postingDesign batch and real-time enterprise data architectures
Build AI-ready data pipelines, semantic search and RAG infrastructure
Build CDC and incremental data processing pipelines
Build real-time analytics and event-driven streaming pipelines
From the employer’s posting
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.
CDC or Debezium and incremental data processing experience is required.
Strong experience with real-time analytics, event-driven architecture, and streaming data pipelines.
What you’ll bring
All qualificationsCore experience
- 10+ years in data engineering or data architecture
- Treasure Data / Treasure Data CDP production experience
- Hands-on ETL/ELT, Python, SQL and enterprise data warehousing
- Generative AI data engineering experience (RAG, vector databases, LangChain, AWS Bedrock, Azure OpenAI)
- CDC or Debezium and incremental processing experience
Qualification wording
We are looking for a 10+ years experienced Senior Data Architect
Treasure Data / Treasure Data CDP experience is a key requirement
Must have strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehousing experience.
AI/Generative AI data engineering experience is strongly required
CDC or Debezium and incremental data processing experience is required.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
TMS is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Kafka
- Snowflake
Where the posting names them
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.
- 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?
Pre-Screening Questions Q1: Does the candidate have 10+ years of Data Engineering/Data Architecture experience, with strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehouse/Lakehouse architecture experience? Q2: Does the candidate have hands-on production experience with Treasure Data / Treasure Data CDP, including designing, implementing, or supporting enterprise data pipelines/platforms?
• 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.
• 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.
- 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 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?
Q3: Does the candidate have hands-on experience designing and implementing real-time analytics, event-driven architectures, and streaming data pipelines, including Apache Kafka? Q4: Does the candidate have hands-on experience with CDC/incremental data processing (or Debezium) and designing enterprise cloud data architectures using AWS, Azure, GCP, Snowflake, or Databricks? Q5: Does the candidate have hands-on experience building AI-ready data pipelines, RAG/vector-search infrastructure, or Generative AI data architectures, including technologies such as LangChain, LangGraph, LlamaIndex, AI Agents, Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms?
Q4: Does the candidate have hands-on experience with CDC/incremental data processing (or Debezium) and designing enterprise cloud data architectures using AWS, Azure, GCP, Snowflake, or Databricks? Q5: Does the candidate have hands-on experience building AI-ready data pipelines, RAG/vector-search infrastructure, or Generative AI data architectures, including technologies such as LangChain, LangGraph, LlamaIndex, AI Agents, Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms? Additional Information
• 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.
- 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 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,
• 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.
Specific Ask: Please submit candidates who have Treasure Data + Real-Time Analytics + Enterprise ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI. Note
- 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?
Q2: Does the candidate have hands-on production experience with Treasure Data / Treasure Data CDP, including designing, implementing, or supporting enterprise data pipelines/platforms? Q3: Does the candidate have hands-on experience designing and implementing real-time analytics, event-driven architectures, and streaming data pipelines, including Apache Kafka? Q4: Does the candidate have hands-on experience with CDC/incremental data processing (or Debezium) and designing enterprise cloud data architectures using AWS, Azure, GCP, Snowflake, or Databricks?
Your next step
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Job description
Job Description
Role: Senior Data Architect (with Generative AI)
Location: Houston, TX (Remote)
Duration: 12 Months Contract
Visa: Independent Visa only
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 submit candidates who have Treasure Data + Real-Time Analytics + Enterprise
ETL/Data Warehouse experience, ideally combined with Kafka and Generative AI.
Note
Preferred points to look in the resume:
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?
Pre-Screening Questions
Q1: Does the candidate have 10+ years of Data Engineering/Data Architecture experience, with strong hands-on ETL/ELT, Python, SQL, and Enterprise Data Warehouse/Lakehouse architecture experience?
Q2: Does the candidate have hands-on production experience with Treasure Data / Treasure Data CDP, including designing, implementing, or supporting enterprise data pipelines/platforms?
Q3: Does the candidate have hands-on experience designing and implementing real-time analytics, event-driven architectures, and streaming data pipelines, including Apache Kafka?
Q4: Does the candidate have hands-on experience with CDC/incremental data processing (or Debezium) and designing enterprise cloud data architectures using AWS, Azure, GCP, Snowflake, or Databricks?
Q5: Does the candidate have hands-on experience building AI-ready data pipelines, RAG/vector-search infrastructure, or Generative AI data architectures, including technologies such as LangChain, LangGraph, LlamaIndex, AI Agents, Azure OpenAI, AWS Bedrock, Vertex AI, or similar platforms?
Additional Information
All your information will be kept confidential according to EEO guidelines.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote, OR, United States
Role: Senior Data Architect (with Generative AI) Location: Houston, TX (Remote) Duration: 12 Months Contract
- Work authorization
Duration: 12 Months Contract Visa: Independent Visa only Job Description