Data Architect

Key Skills - DB Architecture, Azure, Cosmos DB, VectorDBs, PostgreSQL
Required Qualifications
10+ years of experience in Data engineering, with at least 3 years focused on Generative AI technologies.
Expertise in designing and architecting production-ready enterprise grade data pipelines.
Strong knowledge of vector databases, graph databases, NoSQL, Document DBs , including design, implementation, and optimization. (e.g. AWS open search or GCP Vertex AI, neo4j etc. Mongo, Dynamo, CosmosDB etc.)
Expertise in designing, loading, and querying NoSQL, graph databases.
Extensive experience in processing and leveraging unstructured data for data applications.
Strong programming skills in Python and knowledge of deep learning frameworks such as PyTorch or TensorFlow.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Excellent communication skills and ability to explain complex technical concepts to both technical and non-technical stakeholders.