Data Architect

Description:

We are seeking a highly skilled Data Architect with strong expertise in Google Cloud Platform (GCP) to design and lead the implementation of scalable, secure, and efficient data architectures.

The ideal candidate will possess deep experience across data modeling, cloud data warehousing (BigQuery), ETL/ELT pipelines and data governance within GCP.

Experienced in backend development with Python, including hands-on experience deploying production-grade REST APIs using frameworks like FastAPI, Flask, or Django.

Hands-on experience with LLM. Proven ability to design, test, and refine prompts for optimal LLM performance.

Strong knowledge of designing and implementing RESTful APIs, including understanding of HTTP methods, request/response structures, and API security practices.

Experience working with AI models, including deploying and managing model inference in backend systems.

Proficiency in working with RDBMS and vector databases such as PostgreSQL, MySQL, or MongoDB, including designing efficient database schemas and query optimization.

Experience with deploying backend services on cloud platforms such as Azure.

Familiarity with Docker, Kubernetes, and CI/CD pipelines is a plus.