Data Architect

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 Google Cloud Platform 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.
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 Google Cloud Platform?
11. Does the candidate have Generative AI data engineering experience?
12. Does the candidate have experience building RAG or vector-search pipelines?
13. Does the candidate have experience with LangChain, LangGraph, LlamaIndex, or AI Agents?
14. Does the candidate have experience integrating enterprise data with Azure OpenAI, AWS Bedrock, Vertex AI, Databricks Mosaic AI, or Snowflake Cortex?
15. Has the candidate personally designed and implemented production-grade data architecture, rather than only maintaining existing ETL jobs?
Disclaimer: OpenKyber provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability.

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