Senior Data Architect | Remote | 15+ Years of experience

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 submit candidates who have Treasure Data Real-Time Analytics Enterprise

ETL/Data Warehouse experience ideally combined with Kafka and Generative AI.

Please provide Yes/No years of experience for each:

1. Does the candidate have 10 years of Data Engineering / Data Architecture experience
2. Does the candidate have strong hands-on ETL/ELT Python and SQL experience
3. Does the candidate have enterprise Data Warehouse / Lakehouse experience
4. Does the candidate have hands-on Treasure Data / Treasure Data CDP experience
5. How many years of Treasure Data experience does the candidate have
6. Does the candidate have real-time analytics / streaming experience
7. Does the candidate have hands-on Apache Kafka experience
8. Does the candidate have CDC / Debezium experience
9. Does the candidate have strong Snowflake or Databricks experience
10. Does the candidate have experience designing cloud data architectures on AWS Azure or GCP
11. Does the candidate have Generative AI data engineering experience

1. Does the candidate have experience building RAG or vector-search pipelines
2. Does the candidate have experience with LangChain LangGraph LlamaIndex or AI Agents
3. Does the candidate have experience integrating enterprise data with Azure OpenAI AWS

Bedrock Vertex AI Databricks Mosaic AI or Snowflake Cortex

1. 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.

Remote Work :

Yes

Employment Type :

Contract