Accenture
Data Architecture Associate Manager
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
19 August 2026
What they need
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
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