Data Architecture Associate Manager
Core
Design and develop enterprise-scale data and AI platforms on Azure and GCP, combining solution architecture, backend engineering, and Generative AI implementation.
Role type
Senior IC data platform architect (cloud-native & GenAI)
Builds
Scalable cloud-native data and AI platforms, backend services, REST APIs, and GenAI solutions
Domain
Cloud computing (Azure/GCP) + Generative AI + Enterprise Data
Deliverable
production ML models
Required skills
Python, RESTful API design, Microservices, Azure Services (Functions, Data Factory, OpenAI, SQL), GCP Services (BigQuery, Cloud Functions, Composer, Run), Data modeling, ETL/ELT, Docker, Kubernetes, Generative AI, LLM application development, RAG, Prompt Engineering, Agentic AI frameworks, LangChain, Vector databases, MLOps, Event-driven architecture
Preferred skills
ReactJS, Snowflake, Databricks, MCP, A2A, AI orchestration concepts
Technologies
Azure, GCP, Python, FastAPI, Flask, Docker, Kubernetes, LangChain, LangGraph, Semantic Kernel, LlamaIndex, Pinecone, FAISS, ChromaDB, Azure AI Search, GitHub Actions, Azure DevOps, Microsoft Entra ID
Responsibilities
Design scalable cloud-native data and AI platforms; Develop backend services and REST APIs; Architect enterprise data platforms; Design and implement GenAI, RAG, and Agentic AI solutions; Integrate LLMs into enterprise applications; Design vector database architectures; Build document ingestion pipelines; Design authentication and authorization; Develop scalable microservices; Define CI/CD pipelines; Optimize cloud cost, scalability, observability, and security; Lead architecture reviews and mentor engineering teams; Collaborate with business stakeholders to translate requirements into technical solutions
Seniority
Senior, hands-on IC with leadership
