Skill required: Data Management - Google Cloud SQL
Designation: Data Architecture Associate Manager
Qualifications:BE/BTech
Years of Experience:10 to 14 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 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.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and 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. Visit us at www.accenture.com
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
