Data Architecture Associate Manager

Skill required: Data Management - Google Cloud SQL


Designation: Data Architecture Associate Manager


Qualifications:BE/BTech


Years of Experience:10 to 14 years


What would you do? Intelligent Operations centers. Our 774,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.
We are looking for a Senior Data & AI Solutions Associate Manager with strong expertise in designing and developing enterprise-scale data and AI platforms on Azure and GCP. The role combines solution architecture, backend engineering, API development, cloud-native application design, and Generative AI implementation.
The ideal candidate should possess hands-on development experience while being capable of defining enterprise architecture, leading technical teams, and driving end-to-end solution delivery.


What are we looking for?

10+ years of software engineering and data platform experience

Strong Python development expertise

Experience designing RESTful APIs and microservices

Azure Services: Azure Functions, App Services, Azure Storage, Azure Data Factory, Azure OpenAI, Azure AI Search, Azure SQL/PostgreSQL, Azure DevOps

GCP Services: BigQuery, Cloud Functions, Cloud Composer, Cloud Run, Cloud Storage

Pub/Sub, SQL and relational databases

Data modeling and ETL/ELT architecture

Experience with Docker and Kubernetes is preferred

Git-based development

Generative AI Skills

LLM application development

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Agentic AI frameworks

LangChain, LangGraph, Semantic Kernel, LlamaIndex (or similar)

Embeddings and vector databases

AI evaluation, guardrails, and observability

MCP, A2A, and AI orchestration concepts are preferred

Snowflake or Databricks

MLOps

Event-driven architecture

Healthcare, Insurance, Banking, or Supply Chain domain experience

ReactJS understanding


Roles and Responsibilities:

Design scalable cloud-native data and AI platforms using Azure and GCP

Develop backend services and REST APIs using Python/FastAPI/Flask

Architect enterprise data platforms leveraging Azure Data Factory, Azure Functions, Databricks, BigQuery, Cloud Functions, Cloud Composer, and Cloud Storage

Design and implement GenAI, RAG, and Agentic AI solutions using LLMs

Integrate OpenAI, Azure OpenAI, Gemini, Claude, or similar LLMs into enterprise applications

Design vector database architectures using Pinecone, FAISS, ChromaDB, Azure AI Search, or similar technologies

Build document ingestion pipelines supporting PDF, Office documents, SharePoint, databases, and APIs

Design authentication and authorization using OAuth2, Microsoft Entra ID, Managed Identity, and service principals

Develop scalable microservices and API integrations with enterprise applications

Define CI/CD pipelines using Azure DevOps or GitHub Actions

Optimize cloud cost, scalability, observability, and security

Lead architecture reviews and mentor engineering teams

Collaborate with business stakeholders to translate requirements into technical solutions


Qualification BE,BTech